Data warehousing Books

Book SynopsisThis book constitutes the refereed proceedings of the 27th China Conference on Information Retrieval, CCIR 2021, held in Dalian, China, in October 2021.The 15 full papers presented were carefully reviewed and selected from 124 submissions. The papers are organized in topical sections: search and recommendation, NLP for IR, IR in Education, and IR in Biomedicine.Table of ContentsSearch and Recommendation.- NLP for IR.- IR in Education.- IR in Biomedicine.

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Book SynopsisThis SpringerBrief provides the first systematic review of the existing works of cohesive subgraph search (CSS) over large heterogeneous information networks (HINs). It also covers the research breakthroughs of this area, including models, algorithms and comparison studies in recent years. This SpringerBrief offers a list of promising future research directions of performing CSS over large HINs.The authors first classify the existing works of CSS over HINs according to the classic cohesiveness metrics such as core, truss, clique, connectivity, density, etc., and then extensively review the specific models and their corresponding search solutions in each group. Note that since the bipartite network is a special case of HINs, all the models developed for general HINs can be directly applied to bipartite networks, but the models customized for bipartite networks may not be easily extended for other general HINs due to their restricted settings. The authors also analyze and compare these cohesive subgraph models (CSMs) and solutions systematically. Specifically, the authors compare different groups of CSMs and analyze both their similarities and differences, from multiple perspectives such as cohesiveness constraints, shared properties, and computational efficiency. Then, for the CSMs in each group, the authors further analyze and compare their model properties and high-level algorithm ideas.This SpringerBrief targets researchers, professors, engineers and graduate students, who are working in the areas of graph data management and graph mining. Undergraduate students who are majoring in computer science, databases, data and knowledge engineering, and data science will also want to read this SpringerBrief.Table of Contents1. Introduction2. Preliminaries3. CSS on Bipartite Networks4. CSS on Other General HINs5. Comparison Analysis6. Related Work on CSMs and solutions7. Future Work and Conclusion

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Book SynopsisChapters “No. 10 and No. 21” are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.Table of ContentsResearch.- Resources.- In-Use Track.

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Book SynopsisThis book provides a principled data-driven framework that progressively constructs, enriches, and applies taxonomies without leveraging massive human annotated data. Traditionally, people construct domain-specific taxonomies by extensive manual curations, which is time-consuming and costly. In today’s information era, people are inundated with the vast amounts of text data. Despite their usefulness, people haven’t yet exploited the full power of taxonomies due to the heavy curation needed for creating and maintaining them. To bridge this gap, the authors discuss automated taxonomy discovery and exploration, with an emphasis on label-efficient machine learning methods and their real-world usages. Taxonomy organizes entities and concepts in a hierarchy way. It is ubiquitous in our daily life, ranging from product taxonomies used by online retailers, topic taxonomies deployed by news outlets and social media, as well as scientific taxonomies deployed by digital libraries across various domains. When properly analyzed, these taxonomies can play a vital role for science, engineering, business intelligence, policy design, e-commerce, and more. Intuitive examples are used throughout enabling readers to grasp concepts more easily.Table of ContentsIntroduction.- Concept Set Expansion.- Taxonomy Construction.- Taxonomy Enrichment.- Taxonomy-Guided Classification.- Conclusions.

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Book SynopsisThis book constitutes the proceedings of the satellite events held at the 19th Extended Semantic Web Conference, ESWC 2022, during May—June in Hersonissos, Greece, 2022. The included satellite events are: the poster and demo session; the PhD symposium; industry track; project networking; workshops and tutorials. During ESWC 2022, the following ten workshops took place:10th Linked Data in Architecture and Construction Workshop (LDAC 2022); 5th International Workshop on Geospatial Linked Data (GeoLD 2022); 5th Workshop on Semantic Web solutions for large-scale biomedical data analytics (SeMWeBMeDA 2022); 7th Natural Language Interfaces for the Web of Data (NLIWOD+QALD 2022); International Workshop on Knowledge Graph Generation from Text (Text2KG 2022); 3rd International Workshop on Deep Learning meets Ontologies and Natural Language Processing (DeepOntoNLP 2022); 1st Workshop on Modular Knowledge (ModularK 2022); Third International Workshop On Knowledge Graph Construction (KGCW 2022); Third International Workshop On Semantic Digital Twins (SeDIT 2022); and the 1st International Workshop on Semantic Industrial Information Modelling (SemIIM 2022). Table of Contents Summary of Workshops and Tutorials at European Semantic Web Conference 2022.- Posters and Demos.- Towards UML-style Visual Queries over Wikidata.- Using the ODRL Profile for Access Control for Solid Pod Resource Governance.- Relation Canonicalization in Open Knowledge Graphs: A Quantitative Analysis.- Harmonizing and Using Numismatic Linked Data in Digital Humanities Research and Application Development: Case DigiNUMA.- Extending AgreementMakerLight to Perform Holistic Ontology Matching.- It’s all in the Name: Entity Typing using Multilingual Language Models.- The Supervised Semantic Similarity Toolkit.- Tab2Onto: Unsupervised Semantification with Knowledge Graph Embeddings.- DataSpecer: A Model-Driven Approach to Managing Data Specifications.- Towards Query Processing over Heterogeneous Federations of RDF Data sources.- SAND: A Tool for Creating Semantic Descriptions of Tabular Sources.- BLAST: Block Applications for Things.- Leibniz Data Manager – A Research Data Management System.- Towards Knowledge Graph-Agnostic SPARQL Query Validation for Improving Question Answering.- Towards Generalized Welding Ontology in line with ISO and Knowledge Graph Construction.- O’FAIRe: Ontology FAIRness Evaluator in the AgroPortal semantic resource repository.- domOS Common Ontology: Web of Things Discovery in Smart Buildings.- WeaKG-MF: a Knowledge Graph of Observational Weather Data.- DAGOBAH UI: A New Hope For Semantic Table Interpretation.- KartoGraphI: Drawing a Map of Linked Data.- WikidataComplete – An easy-to-use method for rapid validation of text-extracted new facts applied to the Wikidata knowledge graph.- Query-based Industrial Analytics over Knowledge Graphs with Ontology Reshaping.- Semantic Video Entity Linking.- Walk this Way! Entity Walks and Property Walks for RDF2vec.- Self-Verifying Web Resource Representations using Solid, RDF-star and Signed URIs.- From OWL to Graphol: importing ontologies into Eddy the editor.- Audio Ontologies for Intangible Cultural Heritage.- Ontology Matching Through Absolute Orientation of Embedding Spaces.- Semantic modeling and reconstruction of drones’ Trajectories.- How to Search and Contextualize Scenes inside Videos for Enriched Watching Experience: Case Stories of the Second World War Veterans.- PhD Symposium.- (Semi-) Automatic construction of knowledge graph Metadata.- Towards a Similarity Algorithm for Controlled Vocabularies within the Digital Humanities.- Causal Domain Adaptation for Information Extraction from Complex Conversations.- Knowledge Graph Population with Out-of-KG Entities.- Dynamic Knowledge Graph Embeddings via Local Embedding Reconstructions.- Leveraging Standards in Model-Centric Geospatial Knowledge Graph Creation.- Building Narrative Structures from Knowledge Graphs.- Using Referential Language Games for Task-oriented Ontology Alignment.- Balancing RDF generation from heterogeneous data sources.- Geological Information Capture with Sketches and Ontologies.- Industry.- The Data Value Quest: A Holistic Semantic Approach at Bosch.- Extracting Subontologies from SNOMED CT.- “Semantify” business and content to meet demands for expert solutions in professional markets.- Enhancing Knowledge Graph Generation with Ontology Reshaping – Bosch Case.- Semantic Data Integration for Monitoring Operators’ Ergonomics in an Automotive Manufacturing Setting.- Semantic Description of Equipment and its Controls in Building Automation Systems.

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Book SynopsisThis book constitutes the refereed proceedings of the 20th International Conference on Business Process Management, BPM 2022, which took place in Münster, Germany, in September 2022. The 22 papers included in this book were carefully reviewed and selected from 98 submissions. They were organized in topical sections as follows: task mining; design methods; process mining; process mining practice; analytics; and systems. The book also includes one keynote talk in full-paper length and 5 tutorial papers. Table of ContentsKeynote.- Advancing Business Process Science via the Co-Evolution of Substantive and Methodological Knowledge.- Tutorials.- BPM in Digital Transformation: New Tools and Productivity Challenges.- Multi-Dimensional Process Analysis.- Theory and Practice - What, With What and How Is Business Process Management Taught at German Universities.-How to Leverage Process Mining in Organizations - Towards Process Mining Capabilities.- Mastering Robotic Process Automation with Process Mining.- Task Mining.- A Reference Data Model for Process-Related User Interaction Logs.- Analysing Variable Human Actions for Robotic Process Automation.- The SWORD is Mightier than the Interview: A Framework for Semi-automatic WORkaround Detection.- Design Methods.- Back to the Roots – Investigating the Theoretical Foundations of Business Process Maturity Models.- Applying Process Mining in Small and Medium sized IT Enterprises – Challenges and Guidelines.- A Process Mining Success Factors Model.- Process Mining.- No Time to Dice: Learning Execution Contexts from Event Logs for Resource-Oriented Process Mining.- A Purpose-Guided Log Generation Framework.- Conformance Checking with Uncertainty via SMT.- Process Mining Practice.- The Dark Side of Process Mining. How Identifiable Are Users Despite Technologically Anonymized Data? A Case Study From the Health Sector.- Analyzing How Process Mining Reports Answer Time Performance Questions.- Process Mining of Knowledge-Intensive Processes: An Action Design Research Study in Manufacturing.- Process Mining Practices: Evidence from Interviews.- Analytics.- Measuring Inconsistency in Declarative Process Specifications.- Understanding and Decomposing Control-Flow Loops in Business Process Models.- Reasoning on Labelled Petri Nets and their Dynamics in a Stochastic Setting.- Incentive Alignment through Secure Computations.- Business Process Simulation with Differentiated Resources: Does it Make a Difference.- Uncovering Object-centric Data in Classical Event Logs for the Automated Transformation from XES to OCEL.- Systems.- Why Companies Use RPA: A Critical Reflection of Goals.- A trustworthy decentralized change propagation mechanism for declarative choreographies.- Architecture of decentralized Process Management Systems.

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Book SynopsisThis book provides a new model to explore discoverability and enhance the meaning of information. The authors have coined the term epidata, which includes items and circumstances that impact the expression of the data in a document, but are not part of the ordinary process of retrieval systems. Epidata affords pathways and points to details that cast light on proximities that might otherwise go unknown. In addition, epidata are clues to mis-and dis-information discernment. There are many ways to find needed information; however, finding the most useable information is not an easy task. The book explores the uses of proximity and the concept of epidata that increases the probability of finding functional information. The authors sketch a constellation of proximities, present examples of attempts to accomplish proximity, and provoke a discussion of the role of proximity in the field. In addition, the authors suggest that proximity is a thread between retrieval constructs based on known topics, predictable relations, and types of information seeking that lie outside constructs such as browsing, stumbling, encountering, detective work, art making, and translation.Table of ContentsProximity and Clues.- More than Meets the Eye.- Epidata, Clues, Threads, and Webs.- Provocations and Invitations.

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Book SynopsisThe three-volume set LNCS 13980, 13981 and 13982 constitutes the refereed proceedings of the 45th European Conference on IR Research, ECIR 2023, held in Dublin, Ireland, during April 2-6, 2023. The 65 full papers, 41 short papers, 19 demonstration papers, 12 reproducibility papers consortium papers, 7 tutorial papers, and 10 doctorial consortium papers were carefully reviewed and selected from 489 submissions. The book also contains, 8 workshop summaries and 13 CLEF Lab descriptions. The accepted papers cover the state of the art in information retrieval focusing on user aspects, system and foundational aspects, machine learning, applications, evaluation, new social and technical challenges, and other topics of direct or indirect relevance to search.Table of ContentsFull Papers.- Automatic Summarization of Financial Earnings Calls Transcript.- Parameter-Efficient Sparse Retrievers and Rerankers using Adapters.- Feature Differentiation and Fusion for Semantic Text Matching.- Multivariate Powered Dirichlet-Hawkes Process.- Fragmented Visual Attention in Web Browsing: Weibull Analysis of Item Visit Times.- Topic-Enhanced Personalized Retrieval-based Chatbot.- Improving the Generalizability of the Dense Passage Retriever Using Generated Datasets.- SegmentCodeList: Unsupervised Representation Learning for Human Skeleton Data Retrieval.- Knowing What and How: A Multi-modal Aspect-Based Framework for Complaint Detection.- What is your cause for concern? Towards Interpretable Complaint Cause Analysis.- DeCoDE: DEtection of COgnitive Distortion and Emotion cause extraction in clinical conversations.- Domain-aligned Data Augmentation for Low-resource and Imbalanced Text Classification.- Privacy-Preserving Fair Item Ranking.- Multimodal Geolocation Estimation of News Photos.- Topics in Contextualised Attention Embeddings.- New Metrics to Encourage Innovation and Diversity in Information Retrieval Approaches.- Probing BERT for Ranking Abilities.- Clustering of Bandit with Frequency-Dependent Information Sharing.- Contrastive Graph Learning with Positional Representation for Recommendation.- Domain Adaptation for Anomaly Detection on Heterogeneous Graphs in E-Commerce.- Short PapersImproving Neural Topic Models with Wasserstein Knowledge Distillation.- Towards Effective Paraphrasing for Information Disguise.- Generating Topic Pages for Scientific Concepts Using Scientific Publications.- Relevance Judgements for Fair Ranking.- A Study of Term-Topic Embeddings for Ranking.- Topic Refinement in Multi-Level Hate Speech Detection.- Is Cross-modal Information Retrieval Possible without Training?.- Adversarial Adaptation for French Named Entity Recognition.- Exploring Fake News Detection with Heterogeneous Social Media Context Graphs.- Justifying Multi-Label Text Classifications for Healthcare Applications.- Doc2Query–: When Less is More.- Towards Quantifying The Privacy Of Redacted Text. -Detecting Stance of Authorities towards Rumors in Arabic Tweets: A Preliminary Study.- Leveraging Comment Retrieval for Code Summarization.- CPR: Cross-domain Preference Ranking with User Transformation.- Colbert-FairPRF: Towards Fair Pseudo-Relevance Feedback in Dense Retrieval.- C2LIR: Continual Cross-lingual Transfer for Low-Resource Information Retrieval.- Joint Extraction and Classification of Danish Competences for Job Matching.- A Study on FGSM Adversarial Training for Neural Retrieval.- Dialogue-to-Video Retrieval.- Time-dependent next-basket recommendations.- Investigating the Impact of Query Representation on Medical Information Retrieval.- Where a Little Change Makes a Big Difference: A Preliminary Exploration of Children’s Queries.- Multi-document QA with GPT-3 and Neural Reranking .- Towards Detecting Interesting Ideas Expressed in Text.- Towards Linguistically Informed Multi-Objective Transformer Pre-Training for Natural Language Inference.- Dirichlet-Survival Process: Scalable Inference of Topic-Dependent Diffusion Networks.- Consumer Health Question Answering Using Off-the-shelf Components.- MOO-CMDS+NER: Named Entity Recognition-based Extractive Comment-oriented Multi-document Summarization.- Don’t Raise Your Voice, Improve Your Argument: Learning to Retrieve Convincing Arguments.- Learning Query-Space Document Representations for High-Recall Retrieval.- Investigating Conversational Search Behavior For Domain Exploration.- Evaluating Humorous Response Generation to Playful Shopping Requests.- Joint Span Segmentation and Rhetorical Role Labeling with Data Augmentation for Legal Documents.- Trigger or not Trigger: Dynamic Thresholding for Few Shot Event Detection.- The Impact of a Popularity Punishing Hyperparameter on ItemKNN Recommendation Performance.- Neural Ad hoc Retrieval Meets Information Extraction.- Augmenting Graph Convolutional Networks with Textual Data for Recommendations.- Utilising Twitter Metadata for Hate Classification.- Evolution of Filter Bubbles and Polarization in News Recommendation.- Capturing Cross-platform Interaction for Identifying Coordinated Accounts of Misinformation Campaigns.

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Book SynopsisThe three-volume set LNCS 13980, 13981 and 13982 constitutes the refereed proceedings of the 45th European Conference on IR Research, ECIR 2023, held in Dublin, Ireland, during April 2-6, 2023. The 65 full papers, 41 short papers, 19 demonstration papers, 12 reproducibility papers consortium papers, 7 tutorial papers, and 10 doctorial consortium papers were carefully reviewed and selected from 489 submissions. The book also contains, 8 workshop summaries and 13 CLEF Lab descriptions. The accepted papers cover the state of the art in information retrieval focusing on user aspects, system and foundational aspects, machine learning, applications, evaluation, new social and technical challenges, and other topics of direct or indirect relevance to search.Table of ContentsReproducibility Papers.- Knowledge is Power, Understanding is Impact: Utility and Beyond Goals, Explanation Quality, and Fairness in Path Reasoning Recommendation.- Stat-weight: Improving the Estimator of Interleaved Methods Outcomes with Statistical Hypothesis Testing.- A Reproducibility Study of Question Retrieval for Clarifying Questions.- The Impact of Cross-Lingual Adjustment of Contextual Word Representations on Zero-Shot Transfer.- Scene-centric vs. Object-centric Image-Text Cross-modal Retrieval: A Reproducibility Study.- Index-Based Batch Query Processing Revisited.- A Unified Framework for Learned Sparse Retrieval.- Entity Embeddings for Entity Ranking: A Replicability Study.- Do the Findings of Document and Passage Retrieval Generalize to the Retrieval of Responses for Dialogues?.- PyGaggle: A Gaggle of Resources for Open-Domain Question Answering.- Pre-Processing Matters! Improved Wikipedia Corpora for Open-Domain Question Answering.- From Baseline to Top Performer: A Reproducibility Study of Approaches at the TREC 2021 Conversational Assistance Track.- Demonstration Papers.- Exploring Tabular Data Through Networks.- InfEval: Application for Object Detection Analysis.- The System for Efficient Indexing and Search in the Large Archives of Scanned Historical Documents.- Public News Archive: A Searchable Sub-Archive to Portuguese Past News Articles.- TweetStream2Story: Narrative Extraction from Tweets in Real Time.- SimpleRad: patient-friendly Dutch radiology reports.- Automated Extraction of Fine-Grained Standardized Product Information from Unstructured Multilingual Web Data.- Continuous Integration for Reproducible Shared Tasks with TIRA.io.- Dynamic Exploratory Search for the Information Retrieval Anthology.- Text2Storyline: Generating Enriched Storylines From Text.- Uptrendz: API-Centric Real-Time Recommendations in Multi-Domain Settings.- Clustering Without Knowing How To: Application and Evaluation.- Enticing local governments to produce FAIR freedom of information act dossiers.- Which Country is this? Automatic Country Ranking of StreetView Images.- Automatic Videography Generation from Audio Tracks.- Ablesbarkeitsmesser: A System for Assessing the Readability of German Text.- FACADE: Fake Articles Classification And Decision Explanation.- PsyProf: A Platform for Assisted Screening of Depression in Social Media.- SOPalign: A Tool for Automatic Estimation of Compliance with Medical Guidelines.- Tutorials.- Understanding and Mitigating Gender Bias in Information Retrieval Systems.- Neuro-Symbolic Representations for Information Retrieval.- Legal IR and NLP: the History, Challenges, and State-of-the-Art.- Deep Learning Methods for Query Auto Completion.- Trends and Overview: The Potential of Conversational Agents in Digital Health.- Crowdsourcing for Information Retrieval.- Uncertainty Quantification for Text Classification.- Workshops.- Fourth International Workshop on Algorithmic Bias in Search and Recommendation (Bias 2023).- The 6th International Workshop on Narrative Extraction from Texts (Text2Story’23).- 2nd Workshop on Augmented Intelligence in Technology-Assisted Review Systems (ALTARS): Evaluation Metrics and Protocols for eDiscovery and Systematic Review Systems.- Workshop QPP++ 2023: Query Performance Prediction and Ist Evaluation in New Tasks.- Bibliometric-enhanced Information Retrieval: 13th International BIR Workshop (BIR˜2023).- Geographic information extraction from texts (GeoExT).- ROMCIR 2023: Overview of the 3rd Workshop on Reducing Online Misinformation through Credible Information Retrieval.- ECIR 2023 workshop proposal: Legal Information Retrieval.- Doctoral Consoritum.- Building Safe and Reliable AI systems for Safety Critical Tasks with Vision-Language Processing.- Text Information Retrieval in Tetun.- Identifying and Representing Knowledge Delta in Scientific Literature.- Investigation of Bias in Web Search Queries.- Monitoring online discussions and responses to support the identification of misinformation.- User Privacy in Recommender Systems.- Conversational Search for Multimedia Archives.- Disinformation Detection: Knowledge Infusion with Transfer Learning and Visualizations.- A Comprehensive Overview of Consumer Conflicts on Social Media.- Designing useful conversational interfaces for information retrieval in career decision-making support.- CLEF Lab Descriptions iDPP@CLEF 2023: The Intelligent Disease Progression Prediction Challenge.- LongEval: Longitudinal Evaluation of Model Performance at CLEF 2023.- The CLEF-2023 CheckThat! Lab: Checkworthiness, Subjectivity, Political Bias, Factuality, and Authority.- Overview of PAN 2023: Authorship Verification, Multi-Author Writing Style Analysis, Profiling Cryptocurrency Influencers, and Trigger Detection.- Overview of Touché 2023: Argument and Causal Retrieval.- CLEF 2023 SimpleText Track: What Happens if General Users Search Scientific Texts?.- Science for Fun: The CLEF 2023 JOKER Track on Automatic Wordplay Analysis.- ImageCLEF 2023 Highlight: Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications.- LifeCLEF 2023 teaser: Species Identification and Prediction Challenges.- BioASQ at CLEF2023: The eleventh edition of the Large-scale biomedical semantic indexing and question answering challenge.- eRisk 2023: Depression, Pathological Gambling, and Eating Disorder Challenges.- Overview of EXIST 2023: sEXism Identification in Social neTworks.- DocILE 2023 Teaser: Document Information Localization and Extraction.

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Book SynopsisThis book explores the rich history of the keyword from its earliest manifestations (long before it appeared anywhere in Google Trends or library cataloging textbooks) in order to illustrate its implicit and explicit mediation of human cognition and communication processes. The author covers the concept of the keyword from its deictic origins in primate and proto-speech communities, through its development within oral traditions, to its initial appearances in numerous graphical forms and its workings over time within a variety of indexing traditions and technologies. The book follows the history all the way to its role in search engine optimization and social media strategies and its potential as an element in the slowly emerging semantic web, as well as in multiple voice search applications. The author synthesizes different perspectives on the significance of this often-invisible intermediary, both in and out of the library and information science context, helping readers to understand how it has come to be so embedded in our daily life.This book: Provides a thorough history of the keyword, from primate and proto-speech communities to current times Explains how the concept of the keyword relates to human cognition and communication processes Highlights the applications of the keyword, both in and out of the library and information science context Table of ContentsChapter 1 - Representation, Reference, Relevance, and Retention.- Chapter 2 - Signals, Semiotics.- Chapter 3 - Proto-Words, Proto-Signs.- Chapter 4 - Philologies, Philosophies, Pragmatics.- Chapter 5 - Rites, Religions.- Chapter 6 - Writing, Indexing.- Chapter 7 - Progress, Public.- Chapter 8 - Discovery, Retrieval.- Chapter 9 - Databases, Search Engines.

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Book SynopsisThis book constitutes the refereed proceedings of the 20th International Conference onThe Semantic Web, ESWC 2023, held in Hersonissos, Crete, Greece, during May 28–June 1, 2023.The 41 full papers included in this book were carefully reviewed and selected from 167 submissions. They are organized in topical sections as follows: research, resource and in-use.Table of ContentsResearch.- Explainable Phenotype-Centric Drug Repurposing via Deep Reinforcement Learning.- A Comparative Study of Stream Reasoning Engines.- Join Ordering of SPARQL Property Path Queries.- Rening Large Integrated Identity Graphs using the Unique NameAssumption.- Structural Bias in Knowledge Graphs for the Entity Alignment Task.- A Framework to Include and Exploit Probabilistic Information in SHACL Validation Reports.- Transformer based Semantic Relation Typing for Knowledge Graph Integration.- Entity Linking for KGQA Using AMR Graphs.- REGNUM: Generating Logical Rules with Numerical Predicates in Knowledge Graphs.- Classifying sequences by combining context-free grammars and OWL ontologies.- NASTyLinker: NIL-Aware Scalable Transformer-based Entity Linker.- iSummary: Workload-based, Personalized summaries for Knowledge Graphs.- Neural Class Expression Synthesis.- Evaluating Language Models for Knowledge Base Completion.- Subsumption Prediction on E-Commerce Taxonomies.- Two-view Graph Neural Networks for Knowledge Graph Completion.- GETT-QA: Graph Embedding based T2T Transformer for Knowledge Graph Question Answering.- Repairing EL ontologies using weakening and completing.- Activity Recommendation for Business Process Modeling with Sequence-to-Sequence Models.- Resource.- RELD: A Knowledge Graph of Relation Extraction Datasets.- The Internet Meme Knowledge Graph.- Describing and Organizing Semantic Web and Machine Learning Systems in the SWeMLS-KG.- A Concise Ontology to Support Research on Complex, Multimodal Clinical Reasoning.- LauNuts: A Knowledge Graph to identify and compare geographic regions in the European Union.- HHT : an approach for representing temporally-evolving historical territories.- An Upper Ontology for Modern Science Branches and Related Entities.- K-Hub: a modular ontology to support document retrieval and knowledge extraction in Industry 5.0.- pyRDF2Vec: A Python Implementation and Extension of RDF2Vec.- Boosting Knowledge Graph Generation from Tabular Data with RML Views.- A knowledge graph of contentious terminology for inclusive representation of cultural heritage.- LegalHTML: a Representation Language for Legal Acts.- Whyis 2: An Open Source Framework for Knowledge Graph Development and Research.- In-Use.- Prototyping an End-User User Interface for the Solid Application Interoperability Specication under GDPR.- SemReasoner - A high-performance Knowledge Graph Store and rule-based Reasoner.- LIS: A Knowledge Graph-based Line Information System.- Combining Semantic Web and Machine Learning for Auditable Legal Key Element Extraction.- Understanding Customer Requirements - an Enterprise Knowledge Graph Approach.- Investigating Ontology-based data access with GitHub.- Enabling Live SPARQL Queries Over ConceptNet Using Triple Pattern Fragments.- Evaluation of a Representative Selection of SPARQL Query Enginesusing Wikidata.- MOSAIK: An Agent-Based Decentralized Control System withStigmergy For A Transportation Scenario.

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Book SynopsisThis book constitutes the refereed proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2022, held in Valletta, Malta, during October 24–26, 2022.The 14 full papers included in this book were carefully reviewed and selected from 127 submissions. They were organized in topical sections as follows: Knowledge Discovery and Information Retrieval; Knowledge Engineering and Ontology Development; and Knowledge Management and Information SystemsTable of Contents​Knowledge Discovery and Information Retrieval.- Electrocardiogram Two-Dimensional Motifs: A Study Directed at Cardio Vascular Disease Classification.- Degree Centrality Definition, and Its Computation for Homogeneous Multilayer Networks Using Heuristics-Based Algorithms.- A Dual-Stage Noise Training Scheme for Breast Ultrasound Image Classification.- A General-Purpose Multi-Stage Multi-Group Machine Learning Framework for Knowledge Discovery and Decision Support.- Comparative Assessment of Deep end-to-end, Deep Hybrid and Deep Ensemble Learning Architectures for Breast Cancer Histological Classification.- Knowledge Engineering and Ontology Development.- CIE: A Cloud-Based Information Extraction System for Named Entity Recognition in AWS, Azure, and Medical Domain.- From Natural Language Texts to RDF Triples: A Novel Approach to Generating e-Commerce Knowledge Graphs.- Situational Question Answering over Commonsense Knowledge Using Memory Nets.- Archives Metadata Text Information Extraction into CIDOC-CRM.- Evolution of Computational Ontologies: Assessing Development Processes Using Metrics.- System to Correct Toxic Expression with BERT and to Determine the Effect of the Attention Value.- Knowledge Management and Information Systems.- Machine Learning Decision Support for Production Planning and Control Based on Simulation-Generated Data..- FAIRification of CRIS: A Review.- Measuring Augmented Reality and Virtual Reality Trajectory in the Training Environment.- DroNit Project: Improving Drone Usage for Civil Defense Applications.- Innovation Processes and Information Technologies: A Study of Boutique Hotels in Valletta, Malta.

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Book SynopsisThis book constitutes the refereed proceedings of the 16th International Conference on Similarity Search and Applications, SISAP 2023, held in A Coruña, Spain, during October 9–11, 2023.The 16 full papers and 4 short papers included in this book were carefully reviewed and selected from 33 submissions. They were organized in topical sections as follows: similarity queries, similarity measures, indexing and retrieval, data management, feature extraction, intrinsic dimensionality, efficient algorithms, similarity in machine learning and data mining.Table of Contents​Keynotes.- From Intrinsic Dimensionality to Chaos and Control: Towards a Unified Theoretical View.- The Rise of HNSW: Understanding Key Factors Driving the Adoption.- Towards a Universal Similarity Function: the Information Contrast Model and its Application as Evaluation Metric in Artificial Intelligence Tasks.- Research Track.- Finding HSP Neighbors via an Exact, Hierarchical Approach.- Approximate Similarity Search for Time Series Data Enhanced by Section Min-Hash.- Mutual nearest neighbor graph for data analysis: Application to metric space clustering.- An Alternating Optimization Scheme for Binary Sketches for Cosine Similarity Search.- Unbiased Similarity Estimators using Samples.- Retrieve-and-Rank End-to-End Summarization of Biomedical Studies.- Fine-grained Categorization of Mobile Applications through Semantic Similarity Techniques for Apps Classification.- Runs of Side-Sharing Tandems in Rectangular Arrays.- Turbo Scan: Fast Sequential Nearest Neighbor Search in High Dimensions.- Class Representatives Selection in Non-Metric Spaces for Nearest Prototype Classification.- The Dataset-similarity-based Approach to Select Datasets for Evaluation in Similarity Retrieval.- Suitability of Nearest Neighbour Indexes for Multimedia Relevance Feedback.- Accelerating k-Means Clustering with Cover Trees.- Is Quantized ANN Search Cursed? Case Study of Quantifying Search and Index Quality.- Minwise-Independent Permutations with Insertion and Deletion of Features.- SDOclust: Clustering with Sparse Data Observers.- Solving k-Closest Pairs in High-Dimensional Data using Locality- Sensitive Hashing.- Vec2Doc: Transforming Dense Vectors into Sparse Representations for Efficient Information Retrieval.- Similarity Search with Multiple-Object Queries.- Diversity Similarity Join for Big Data.- Indexing Challenge.- Overview of the SISAP 2023 Indexing Challenge.- Enhancing Approximate Nearest Neighbor Search: Binary-Indexed LSH-Tries, Trie Rebuilding, And Batch Extraction.- General and Practical Tuning Method for Off-the-Shelf Graph-Based Index: SISAP Indexing Challenge Report by Team UTokyo.- SISAP 2023 Indexing Challenge – Learned Metric Index.- Computational Enhancements of HNSW Targeted to Very Large Datasets.- CRANBERRY: Memory-Effective Search in 100M High-Dimensional CLIP Vectors.

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Book SynopsisQuestions of privacy, borders, and nationhood are increasingly shaping the way we think about all things digital. Data Centers brings together essays and photographic documentation that analyze recent and ongoing developments. Taking Switzerland as an example, the book takes a look at the country's data centers, law firms, corporations, and government institutions that are involved in the creation, maintenance, and regulation of digital infrastructures. Beneath the official storyline— Switzerland’s moderate climate, political stability, and relatively clean energy mix—the book uncovers a much more varied and sometimes contradictory set of narratives.

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Book SynopsisIn this book readers will find technological discussions on the existing and emerging technologies across the different stages of the big data value chain. They will learn about legal aspects of big data, the social impact, and about education needs and requirements. And they will discover the business perspective and how big data technology can be exploited to deliver value within different sectors of the economy. The book is structured in four parts: Part I “The Big Data Opportunity” explores the value potential of big data with a particular focus on the European context. It also describes the legal, business and social dimensions that need to be addressed, and briefly introduces the European Commission’s BIG project. Part II “The Big Data Value Chain” details the complete big data lifecycle from a technical point of view, ranging from data acquisition, analysis, curation and storage, to data usage and exploitation. Next, Part III “Usage and Exploitation of Big Data” illustrates the value creation possibilities of big data applications in various sectors, including industry, healthcare, finance, energy, media and public services. Finally, Part IV “A Roadmap for Big Data Research” identifies and prioritizes the cross-sectorial requirements for big data research, and outlines the most urgent and challenging technological, economic, political and societal issues for big data in Europe.This compendium summarizes more than two years of work performed by a leading group of major European research centers and industries in the context of the BIG project. It brings together research findings, forecasts and estimates related to this challenging technological context that is becoming the major axis of the new digitally transformed business environment. Trade Review“The book provides rich information on the different processes involved in big data value chain and explains each process with case studies in diverse industrial sectors. … the book can help academic researchers, undergraduate students, and graduate students because it contains information about big data and its recent development and generates some research ideas. This book can also facilitate government officials and executives of different organizations to consider future roadmap by taking advantage of big data.” (Sunny Sun and Rob Law, Information Technology & Tourism, Vol. 17, 2017)Table of Contents

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Book SynopsisThis book offers a comprehensive guide to the world of metadata, from its origins in the ancient cities of the Middle East, to the Semantic Web of today. The author takes us on a journey through the centuries-old history of metadata up to the modern world of crowdsourcing and Google, showing how metadata works and what it is made of. The author explores how it has been used ideologically and how it can never be objective. He argues how central it is to human cultures and the way they develop. Metadata: Shaping Knowledge from Antiquity to the Semantic Web is for all readers with an interest in how we humans organize our knowledge and why this is important. It is suitable for those new to the subject as well as those know its basics. It also makes an excellent introduction for students of information science and librarianship. Trade Review“In Metadata: Shaping Knowledge from Antiquity to the Semantic Web, Gartner, the digital librarian at the Warburg Institute at the University of London, thoroughly covers not only the history of metadata, but how it affects and forms knowledge and culture. … The author concludes the work with recent advances in metadata creation—metadata produced via Web 2.0, crowdsourcing, and folksonomies. This is a meticulous overview of metadata and its history and application. Summing Up: Recommended. Graduate students, faculty, and professionals.” (A. Hollister, Choice, Vol. 54 (9), May, 2017)“The book presents an enjoyable bird’s-eye view of metadata and related concepts, with outstanding examples accessible to non-experts. … I highly recommend the book.” (H. I. Kilov, Computing Reviews, May, 2017)“The book covers continuous evolution of metadata from the history of cataloguing to the modern forms … . This book will attract readers interested in metadata, the semantic web, metadata ontologies, digital libraries, and semantic retrieval. So, it is highly recommended to information professionals, digital librarians and students. The book is well structured and motivating. The results of Gartner’s effort are very much worth reading due to his librarianship perspective on metadata.” (Elaheh Hossseini, Information Research, informationr.net, Vol. 22 (1), March, 2017)“All of the usual elements of a book on metadata are present and correct … I would urge you to read this book if you are new to cataloguing or if you are old in cataloguing and world-weary about our professional mission. It’s a book to provoke your own thoughts, and quite possibly to give to your manager if you suspect they are unsure why metadata, why cataloguing and, therefore, why you and your team matter.” (Anne Welsh, Catalogue and Index, cilip.org.uk, Issue 186, March, 2017) “The book provides an overview of existing metadata approaches and standards such as MARC, Dublin Core, MIX and EAD. This book also offers a succinct history of metadata and discusses emerging metadata approaches. … This book can be read by both technical and non-technical people as it uses a rather accessible language. Metadata makes information finding easier. This is an excellent read and I highly recommend it to my colleagues and friends.” (Getaneh Alemu, Linkedin.com, January, 2017)“This slim volume aims to provide the reader with an overview of the history and development of metadata from the earliest times to the present day, and it offers a straightforward and readable account of metadata for the novice or the non-professional. … There is plenty here to intrigue and entertain for those wanting a lightweight introduction to the subject, at a very attractive price … .” (Vanda Broughton, Library & Information History, Vol. 33 (2), 2017)Table of ContentsWhat Metadata is and why it Matters.- Clay, Goats and Trees: Metadata before the Byte.- Metadata Becomes Digital.- Metadata as Ideology.- The Ontology of Metadata.- The Taxonomic Urge.- From Hierarchies to Networks.- Breaking the Silos.- Democratizing Metadata.- Knowledge and Uncertainty.

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Book SynopsisThis book constitutes the thoroughly refereed post-conference proceedings of the Satellite Events of the 14th European Conference on the Semantic Web, ESWC 2017, held in Portoroz, Slovenia, in May/June2017.The volume contains 8 poster and 24 demonstration papers, selected from 105 submissions. Additionally, this book includes a selection of 13 best workshop papers. The papers cover various aspects of the semantic web.The chapter 'Scholia, Scientometrics and Wikidata' is available open access under a CC BY 4.0 license via link.springer.com.Table of ContentsQuerying the Web of Data.- Semantic Web Solutions for Large-Scale Biomedical Data Analytics.- Scientometrics.- RDF Stream Processing.- Emotions, Modality, Sentiment Analysis and the Semantic Web.- Applications of Semantic Web Technologies in Robotics.- Linked Data and Distributed Ledgers.- Linked Data Quality.- Semantic Deep Learning.- Humanities in the Semantic Web.

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Book SynopsisJede Business-Intelligence-Anwendung beruht letzten Endes auf einem Data Warehouse. Data Warehousing ist deshalb ein sehr wichtiges Gebiet der Angewandten Informatik, insbesondere im Zeitalter von Big Data. Das vorliegende Buch beleuchtet das Data Warehouse aus zwei Perspektiven: der des Entwicklers und der des Anwenders. Der zukünftige Entwickler lernt, ein Data Warehouse mit geeigneten Methoden selbst zu entwickeln. Für den zukünftigen Anwender geht der Autor auf die Themen Reporting, Online Analytical Processing und Data Mining ein. Das Lehrbuch ist auch zum Selbststudium geeignet. Kenntnisse über Datenbanksysteme sollten allerdings vorhanden sein.Trade Review"Das didaktisch gut aufgebaute Buch auf dem aktuellen Stand der Technik endet mit 10 Übungsaufgaben (mit Lösungen) und ist auch zum Selbststudium gut geeignet." (EKZ im Dezember 2018)Table of ContentsEinleitung 19 Über dieses Buch 19 Konventionen in diesem Buch 20 Was Sie nicht lesen müssen 20 Törichte Annahmen über den Leser 21 Wie dieses Buch aufgebaut ist 21 Teil I: Was ist ein Data Warehouse? 21 Teil II: Architektur eines Data-Warehouse-Systems 21 Teil III: Anwendungsbereiche für ein Data Warehouse 22 Teil IV: Modellierung eines Data-Warehouse-Systems 22 Teil V: Zugriff auf ein Data Warehouse 22 Teil VI: Speicherung und Optimierung auf Datenbankebene 22 Teil VII: Der Top-10-Teil 22 Symbole, die in diesem Buch verwendet werden23 Wie es weitergeht 23 TEIL I WAS IST EIN DATA WAREHOUSE? 25 Kapitel 1 Ein Beispiel zur Einführung 27 Daten und ihre Verarbeitung 27 Daten und Datenbanken 27 Die Verarbeitung von Daten 28 Analyse von Absatzmengen und Planzahlen als Beispiel 29 Besonderheiten analytischer Aufgabenstellungen 31 Wenn personenbezogene Daten ins Spiel kommen 34 Kapitel 2 Das Data Warehouse im Umfeld der betrieblichen Informationssysteme 35 Hierarchie betrieblicher Informationssysteme 35 Zusammenfassung: Analytische Informationssysteme 38 Beispiele für analytische Informationssysteme 39 Beispiel 1: Analytische Informationssysteme im CRM 39 Beispiel 2: Kennzahlen-Analysesysteme im Rechnungswesen 41 Beispiel 3: Website-Analysesysteme 43 Fazit: Data Warehouse und analytische Informationssysteme 45 Kapitel 3 Definition und Abgrenzung des Begriffs »Data Warehouse« 47 Die 3-Schichten-Architektur analytischer Informationssysteme 47 Definitionen des Begriffs Data Warehouse 50 Definition von Inmon 50 Definition von Kimball 52 Vergleich der beiden Definitionen 53 Anwendungsfall: Das Data Warehouse und Business Intelligence 54 TEIL II ARCHITEKTUR EINES DATA-WAREHOUSE-SYSTEMS 57 Kapitel 4 Überblick über die Architektur eines Data-Warehouse-Systems 59 Die Phasen des Data Warehousing 59 Ein allgemeines Data-Warehouse-Architekturmodell 61 Vorgehensweisen bei der Erstellung eines Data Warehouse 64 Projektdefinition und Machbarkeitsstudie 65 Analyse, Entwurf und Einführung für einen Anwendungsbereich 66 Kapitel 5 Der ETL-Prozess 69 Überblick 69 Ein einführendes Beispiel 70 Extraktion 71 Das Pull-Prinzip 71 Das Push-Prinzip 72 Beispiele 72 Transformation 77 Datenbestandsanalyse 77 Datenbereinigung 78 Datenintegration 80 Laden 82 Kapitel 6 Die Basisdatenbank 85 Merkmale der Basisdatenbank 85 Unterschied zwischen operativen Datenbanken und der Basisdatenbank 87 Die operativen Quellsysteme des Beispiels 88 Die Basisdatenbank des Beispiels 89 Kapitel 7 Das Analyse-Subsystem 93 Dimensionen und Fakten 93 Dimension oder Metrik? 95 Metriken als Dimension 96 Dimensionen als Metrik 97 Klassifizierung von Dimensionen 98 Fachliche Dimensionen 98 Kategorische Dimensionen 98 Strukturelle Dimensionen 99 Hierarchien von Dimensionswerten 99 Parallele Hierarchien 100 Unausgeglichene Hierarchiebäume 101 Strukturänderungen in Hierarchien 102 Slowly Changing Dimensions 102 Typ 1: Überschreiben 103 Typ 2: Neue Zeile 104 Typ 3: Spalten mit altem und neuem Wert 105 Typ 4: Mini-Dimension 105 Zusammenfassung 106 Verknüpfung von Dimensionen über Metriken 106 Aggregationstypen von Fakten 107 Die Themen Datenqualität und Datenschutz 108 Datenqualität 108 Datenschutz 109 Architekturvarianten für ein Analyse-Subsystem 109 Möglichkeiten für die Architektur 110 Die Hub-and-Spoke-Architektur 111 Auswertungen und Analysen 112 Kapitel 8 Metadaten 113 Was sind Metadaten?113 Metadaten im Data-Warehouse-Kontext 114 Das Metadaten-Management in einem Data-Warehouse-System 114 Standards für Data-Warehouse-Metadaten 118 Ein kleines Beispiel 119 TEIL III ANWENDUNGSBEREICHE FÜR EIN DATA WAREHOUSE 121 Kapitel 9 Reporting 123 Das Berichtswesen eines Unternehmens 123 Überblick und Definition 123 Erzeugung und Verteilung von Reports 125 Arten von Berichtssystemen 125 Was sich Anwender vom Reporting wünschen und wie die Wirklichkeit oft aussieht 126 Einige Tipps für die Report-Gestaltung 127 Graphische Darstellungen im Report 128 Die Hichert-Success-Regeln 131 Grundformen für Reports 132 Ist-Ist-Vergleiche 132 Plan-Ist-Vergleiche 133 Plan-Wird-Vergleiche 134 Berücksichtigung dynamischer Dimensionsstrukturen 135 Report as-is 136 Report as-of 136 Report as-posted 137 Ein praktisches Beispiel 137 Kapitel 10 Online Analytical Processing 139 Motivation und Definition 139 Charakteristika von OLAP 141 Abgrenzung OLAP und OLTP 141 Die Coddschen Regeln 142 FASMI 143 Spezielle OLAP-Operatoren 144 Pivotierung bzwRotation 144 Roll-up und Drill-down 145 Slice und Dice 146 Beispiel 148 Kapitel 11 Data Mining151 Einführung 151 CRISP-DM 153 Methoden und Verfahren beim Data Mining 154 Assoziationsanalyse 155 Clusteranalyse 160 Klassifikation mit der Diskriminanzanalyse 164 Entscheidungsbaumverfahren 166 Spezielle Data-Mining-Fragestellungen im Kontext von Data-Warehouse-Daten 171 Welche Artikel werden gemeinsam gekauft? 172 Unterscheiden sich gute, normale und schlechte Kunden? 172 Welche Kunden besitzen eine bestimmte Produktaffinität? 173 Praxisbeispiel »Predictive Analytics« 174 Kollaboratives Filtern 175 TEIL IV MODELLIERUNG EINES DATA-WAREHOUSE-SYSTEMS 177 Kapitel 12 Data Vault 179 Einführung 179 Hubs, Satelliten und Links 180 Hubs 180 Links 182 Satelliten183 Beispiel 185 Kapitel 13 Semantischer Entwurf eines Data Warehouse 191 Zur Wiederholung: das Entity-Relationship-Modell 191 Drei Schritte bei der Modellierung einer Datenbank 192 Das ER-Modell: Entitätstypen, Attribute und Beziehungen 192 Das multidimensionale ER-Modell 194 ADAPT 196 Kapitel 14 Relationale Modellierung der Datenwürfel 199 Einführung 199 Das Star-Schema 200 Beispiel 201 Besondere Merkmale des Star-Schemas 204 Das Snowflake-Schema 207 Vergleich von Star- und Snowflake-Schema 209 Das Galaxy-Schema 211 TEIL V ZUGRIFF AUF EIN DATA WAREHOUSE 213 Kapitel 15 Multidimensionale Abfragen mit SQL 215 Zugriff auf ein Data Warehouse mit SQL 215 Erzeugen der Tabellen 216 Typische analytische Fragestellungen 218 OLAP-Erweiterungen von SQL 220 Die WINDOW-Klausel 220 Erweiterungen der GROUP-BY-Option 225 Statistische Funktionen 228 Kapitel 16 Die Abfragesprache MDX 229 Einführung 229 Spezielle OLAP-Operatoren und Funktionen 233 Tupel und Sets 233 Member und Children 234 Kreuzprodukt mittels Crossjoin 234 Der WITH-Operator 235 Häufige Fragestellungen 236 Kapitel 17 Zusammenspiel von MDX und SQL 239 OLAP-Server 239 Der OLAP-Server Mondrian 241 MDX-Schema von Mondrian 241 Mondrian-Frontend-Tools 245 TEIL VI SPEICHERUNG UND OPTIMIERUNG AUF DATENBANKEBENE 247 Kapitel 18 ROLAP, MOLAP und anderes 249 ROLAP und MOLAP 249 Spaltenorientierte und In-Memory-Speicherung 252 NoSQL-Datenbanksysteme 255 Typen von NoSQL-Systemen 255 NoSQL-Datenbanken bei einem Data Warehouse 258 Beurteilung 263 Kapitel 19 Optimierungsmöglichkeiten bei relationalen Datenbanken 265 Einführung 265 Partitionierung 266 Partition by List 267 Partition by Range 268 Partition by Hash 268 Partition by Reference 269 Materialized Views 270 Klassische Views vsMaterialized Views 270 Materialized Views bei einem Data Warehouse 273 Indizierung 274 Klassischer Index 274 Bitmap-Index 275 Mehrdimensionale Indizes 276 TEIL VII DER TOP-10-TEIL 279 Kapitel 20 10 Schritte auf dem Weg zu Ihrem ersten Dashboard 281 Und so wird es gemacht 282 Festlegung der Datenquellen 282 Vorbereitung der Daten 283 Erstellung eines Dashboards 285 Daten aus mehreren Quellen 287 Integration von Landkarten 288 Kapitel 21 10 Schritte, die helfen, die richtige Data-Warehouse-Software zu finden 291 Marktanalyse für BI-Software 291 Definition der eigenen Anforderungen 292 Einbindung des Managements, Projektplan 293 Marktanalyse der infrage kommenden BI-Anbieter 293 Einholung von Angeboten 293 Durchführung von Testinstallationen 294 Bewertung der Systeme 294 Ermittlung der Kosten 295 Einholung von Referenzen, Anbieterqualifikation 296 Überprüfung der Lizenzvereinbarung 296 Kapitel 22 10 Übungsaufgaben zur Wiederholung 297 Aufgaben 297 Aufgabe 1: Assoziationsanalyse 297 Aufgabe 2: Diskriminanzanalyse 297 Aufgabe 3: Data Vault 298 Aufgabe 4: ADAPT 298 Aufgabe 5: MDX299 Aufgabe 6: Star-Schema 299 Aufgabe 7: OLAP mit SQL 299 Aufgabe 8: Snowflake-Schema 300 Aufgabe 9: Optimierung 300 Aufgabe 10: Multidimensionale Datenbank301 Lösungen 301 Lösung von Aufgabe 1 301 Lösung von Aufgabe 2 303 Lösung von Aufgabe 3 303 Lösung von Aufgabe 4 304 Lösung von Aufgabe 5 304 Lösung von Aufgabe 6 306 Lösung von Aufgabe 7 307 Lösung von Aufgabe 8 309 Lösung von Aufgabe 9 309 Lösung von Aufgabe 10 311 Literaturverzeichnis 313 Stichwortverzeichnis 317

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Book SynopsisFormanyyearstheintersectionofcomputing anddataanalysiscontainedme- based statistics packages and not much else. Recently, statisticians have - braced computing, computer scientists have started using statistical theories and methods, and researchers in all corners have invented algorithms to nd structure in vast online datasets. Data analysts now have access to tools for exploratory data analysis, decision tree induction, causal induction, function - timation,constructingcustomizedreferencedistributions,andvisualization,and thereareintelligentassistantsto adviseonmatters ofdesignandanalysis.There aretoolsfortraditional,relativelysmallsamples,andalsoforenormousdatasets. In all, the scope for probing data in new and penetrating ways has never been so exciting. The IDA-99 conference brings together a wide variety of researchers c- cerned with extracting knowledge from data, including people from statistics, machine learning, neural networks, computer science, pattern recognition, da- base management, and other areas.The strategiesadopted by people from these areas are often di erent, and a synergy results if this is recognized. The IDA series of conferences is intended to stimulate interaction between these di erent areas,sothatmorepowerfultoolsemergeforextractingknowledgefromdataand a better understanding is developed of the process of intelligent data analysis. The result is a conference that has a clear focus (one application area:intelligent data analysis) and a broad scope (many di erent methods and techniques).Table of ContentsLearning.- From Theoretical Learnability to Statistical Measures of the Learnable.- ALM: A Methodology for Designing Accurate Linguistic Models for Intelligent Data Analysis.- A “Top-Down and Prune” Induction Scheme for Constrained Decision Committees.- Mining Clusters with Association Rules.- Evolutionary Computation to Search for Strongly Correlated Variables in High-Dimensional Time-Series.- The Biases of Decision Tree Pruning Strategies.- Feature Selection as Retrospective Pruning in Hierarchical Clustering.- Discriminative Power of Input Features in a Fuzzy Model.- Learning Elements of Representations for Redescribing Robot Experiences.- “Seeing“ Objects in Spatial Datasets.- Intelligent Monitoring Method Using Time Varying Binomial Distribution Models for Pseudo-Periodic Communication Traffic.- Visualization.- Monitoring Human Information Processing via Intelligent Data Analysis of EEG Recordings.- Knowledge-Based Visualization to Support Spatial Data Mining.- Probabilistic Topic Maps: Navigating through Large Text Collections.- 3D Grand Tour for Multidimensional Data and Clusters.- Classification and Clustering.- A Decision Tree Algorithm for Ordinal Classification.- Discovering Dynamics Using Bayesian Clustering.- Integrating Declarative Knowledge in Hierarchical Clustering Tasks.- Nonparametric Linear Discriminant Analysis by Recursive Optimization with Random Initialization.- Supervised Classification Problems: How to Be Both Judge and Jury.- Temporal Pattern Generation Using Hidden Markov Model Based Unsupervised Classification.- Exploiting Similarity for Supporting Data Analysis and Problem Solving.- Multiple Prototype Model for Fuzzy Clustering.- A Comparison of Genetic Programming Variants for Data Classification.- Fuzzy Clustering Based on Modified Distance Measures.- Building Classes in Object-Based Languages by Automatic Clustering.- Integration.- Adjusted Estimation for the Combination of Classifiers.- Data-Driven Theory Refinement Using KBDistAl.- Reasoning about Input-Output Modeling of Dynamical Systems.- Undoing Statistical Advice.- A Method for Temporal Knowledge Conversion.- Applications.- Intrusion Detection through Behavioral Data.- Bayesian Neural Network Learning for Prediction in the Australian Dairy Industry.- Exploiting Sample-Data Distributions to Reduce the Cost of Nearest-Neighbor Searches with Kd-Trees.- Pump Failure Detection Using Support Vector Data Descriptions.- Data Mining for the Detection of Turning Points in Financial Time Series.- Computer-Assisted Classification of Legal Abstracts.- Sequential Control Logic Inferring Method from Observed Plant I/O Data.- Evaluating an Eye Screening Test.- Application of Rough Sets Algorithms to Prediction of Aircraft Component Failure.- Media Mining.- Exploiting Structural Information for Text Classification on the WWW.- Multi-agent Web Information Retrieval: Neural Network Based Approach.- Adaptive Information Filtering Algorithms.- A Conceptual Graph Approach for Video Data Representation and Retrieval.

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Book SynopsisDieses Buch stellt Methoden der Begrifflichen Wissensverarbeitung vor und präsentiert Anwendungen aus unterschiedlichen Praxisfeldern. Im Methodenteil wird in moderne Techniken der Begrifflichen Datenanalyse und Wissensverarbeitung eingeführt. Hierbei werden die mathematischen Grundlagen abgehandelt und durch zahlreiche Beispiele anschaulich gemacht. Der zweite Teil des Buches richtet sich verstärkt an potentielle Anwender. An ausgewählten Anwendungen wird die Vorgehensweise bei der Datenanalyse und dem Information Retrieval mit den Methoden der Begrifflichen Wissensverarbeitung vorgestellt und ihr Potential aufgezeigt.Table of ContentsI: Methoden der Begrifflichen Wissensverarbeitung.- Begriffe und Implikationen.- ConImp - Ein Programm zur Formalen Begriffsanalyse.- Ähnlichkeit als Distanz in Begriffsverbänden.- Datenanalyse mit Fuzzy-Begriffen.- Terminologische Merkmalslogik in der Formalen Begriffsanalyse.- II: Anwendungen der Begrifflichen Wissensverarbeitung.- Formale Begriffsanalyse im Software Engineering.- Zugriffskontrolle bei Programmsystemen und im Datenschutz mittels Formaler Begriffsanalyse.- Inhaltliche Erschließung des Bereichs 'Sozialorientierte Gestaltung von Informationstechnik' - Ein begriffsanalytischer Ansatz.- Wissensdarstellungen in Informationssystemen, Fragetypen und Anforderungen an Retrievalkomponenten.- Ein TOSCANA-Erkundungssystem zur Literatursuche.- Ein Erkundungssystem zum Baurecht: Methoden der Entwicklung eines TOSCANA-Systems.- Begriffliche Erkundung semantischer Strukturen von Sprechaktverben.- Grundwerte, Ziele und Maßnahmen in einem regionalen Krankenhaus - Eine Anwendung des Verfahrens GABEK.- Normen- und regelgeleitete internationale Kooperationen - Formale Begriffsanalyse in der Politikwissenschaft.- Entwicklung eines kontextuellen Methodenkonzeptes mit Hilfe der Formalen Begriffsanalyse an Beispielen zum Risikoverständnis.- Über Möglichkeiten der Formalen Begriffsanalyse in der Mathematischen Archäochemie.

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Book SynopsisThis book introduces a new approach to designing E-Librarian Services. With the help of this system, users will be able to retrieve multimedia resources from digital libraries more efficiently than they would by browsing through an index or by using a simple keyword search. E-Librarian Services combine recent advances in multimedia information retrieval with aspects of human-machine interfaces, such as the ability to ask questions in natural language; they simulate a human librarian by finding and delivering the most relevant documents that offer users potential answers to their queries. The premise is that more pertinent results can be retrieved if the search engine understands the meaning of the query; the returned results are therefore logical consequences of an inference rather than of keyword matches. Moreover, E-Librarian Services always provide users with a solution, even in situations where they are unable to offer a comprehensive answer.Trade ReviewFrom the reviews:“The subtitle gives a much better idea of what this book is really about. … it offers a demonstration of their applicability within a narrow computer science framework. … the primary audience is computer science researchers. … It is interesting as an illustration of where information retrieval is heading, an explanation of the relationship between the semantic web and natural language processing, and a glimpse of the potential power of these new ways of representing knowledge.” (Toby Burrows, Australian Library Journal, Vol. 61 (2), May, 2012)Table of ContentsPart I: Information Retrieval in Digital Libraries.- Introduction to Digital Libraries.- Search Engines.- Part II: Key Technologies of E-Librarian Services.- Semantic Web and Ontologies.- Description Logics and Reasoning.- Natural Language Processing.- Multimedia Information Retrieval.- Part III: Design and Utilization of E-Librarian Services.- Ontological Approach.- Design of the Natural Language Processing Module.- Designing the Multimedia Information Retrieval Module.- Implementation, Configuration, and Deployment.- Best Practices.- Part IV: Appendix.- A - XML SChema Primitive Datatypes.- B - Reasoning Algorithms.- C - Syntactic Difference.- D - Brown Tag Set.- E - Part-of-Speech-Taggers and Parsers.- References.

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Book SynopsisWith the proliferation of huge amounts of (heterogeneous) data on the Web, the importance of information retrieval (IR) has grown considerably over the last few years. Big players in the computer industry, such as Google, Microsoft and Yahoo!, are the primary contributors of technology for fast access to Web-based information; and searching capabilities are now integrated into most information systems, ranging from business management software and customer relationship systems to social networks and mobile phone applications.Ceri and his co-authors aim at taking their readers from the foundations of modern information retrieval to the most advanced challenges of Web IR. To this end, their book is divided into three parts. The first part addresses the principles of IR and provides a systematic and compact description of basic information retrieval techniques (including binary, vector space and probabilistic models as well as natural language search processing) before focusing on its application to the Web. Part two addresses the foundational aspects of Web IR by discussing the general architecture of search engines (with a focus on the crawling and indexing processes), describing link analysis methods (specifically Page Rank and HITS), addressing recommendation and diversification, and finally presenting advertising in search (the main source of revenues for search engines). The third and final part describes advanced aspects of Web search, each chapter providing a self-contained, up-to-date survey on current Web research directions. Topics in this part include meta-search and multi-domain search, semantic search, search in the context of multimedia data, and crowd search.The book is ideally suited to courses on information retrieval, as it covers all Web-independent foundational aspects. Its presentation is self-contained and does not require prior background knowledge. It can also be used in the context of classic courses on data management, allowing the instructor to cover both structured and unstructured data in various formats. Its classroom use is facilitated by a set of slides, which can be downloaded from www.search-computing.org.Trade ReviewFrom the reviews:“The book covers not only a wide range, but everything that is essential to the topic of Web information retrieval. … this book is an excellent starting point into the field of Web information retrieval, and can be recommended for classroom use.” (Gottfried Vossen, zbMATH, Vol. 1283, 2014)“... this book is a valuable resource for students and instructors in web IR, primarily as a reference to supplement course teaching. Researchers and practitioners should find the book a useful quick reference guide for key concepts, techniques, and recent trends in web IR.” (Wingyan Chung, ACM Computing Reviews, July 2014)Table of ContentsPart I Principles of Information Retrieval.- An Introduction to Information Retrieval.- The Information Retrieval Process.- Information Retrieval Models.- Classification and Clustering.- Natural Language Processing for Search.- Part II Information Retrieval for the Web.- Search Engines.- Link Analysis.- Recommendation and Diversification for the Web.- Advertising in Search.- Part III Advanced Aspects of Web Search.- Publishing Data on the Web.- Meta-Search and Multi-Domain Search.- Semantic Search.- Multimedia Search.- Search Process and Interfaces.- Human Computation and Crowd Search.

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Book SynopsisThis volume constitutes the refereed proceedings of the international workshops, Confederated International Workshops: OTM Academy, OTM Industry Case Studies Program, ACM, EI2N, ISDE, META4eS, ORM, SeDeS, SINCOM, SMS and SOMOCO 2013, held as part of OTM 2013 in Graz, Austria, in September 2013. The 75 revised full papers presented together with 12 posters and 5 keynotes were carefully reviewed and selected from a total of 131 submissions. The papers are organized in topical sections on: On The Move Academy; Industry Case Studies Program; Adaptive Case Management and other non-workflow approaches to BPM; Enterprise Integration, Interoperability and Networking; Information Systems in Distributed Environment; Methods, Evaluation, Tools and Applications for the Creation and Consumption of Structured Data for the e-Society; Fact-Oriented Modeling; Semantics and Decision Making; Social Media Semantics; Social and Mobile Computing for collaborative environments; cooperative information systems; Ontologies, Data Bases and Applications of Semantics.Table of ContentsOn The Move Academy.- Industry Case Studies Program.- Adaptive Case Management and other non-workflow approaches to BPM.- Enterprise Integration, Interoperability and Networking.- Information Systems in Distributed Environment.- Methods, Evaluation, Tools and Applications for the Creation and Consumption of Structured Data for the e-Society.- Fact-Oriented Modeling.-Semantics and Decision Making.- Social Media Semantics.- Social and Mobile Computing for collaborative environments.- Cooperative information systems.- Ontologies, Data Bases and Applications of Semantics.

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Book SynopsisWith the proliferation of huge amounts of (heterogeneous) data on the Web, the importance of information retrieval (IR) has grown considerably over the last few years. Big players in the computer industry, such as Google, Microsoft and Yahoo!, are the primary contributors of technology for fast access to Web-based information; and searching capabilities are now integrated into most information systems, ranging from business management software and customer relationship systems to social networks and mobile phone applications.Ceri and his co-authors aim at taking their readers from the foundations of modern information retrieval to the most advanced challenges of Web IR. To this end, their book is divided into three parts. The first part addresses the principles of IR and provides a systematic and compact description of basic information retrieval techniques (including binary, vector space and probabilistic models as well as natural language search processing) before focusing on its application to the Web. Part two addresses the foundational aspects of Web IR by discussing the general architecture of search engines (with a focus on the crawling and indexing processes), describing link analysis methods (specifically Page Rank and HITS), addressing recommendation and diversification, and finally presenting advertising in search (the main source of revenues for search engines). The third and final part describes advanced aspects of Web search, each chapter providing a self-contained, up-to-date survey on current Web research directions. Topics in this part include meta-search and multi-domain search, semantic search, search in the context of multimedia data, and crowd search.The book is ideally suited to courses on information retrieval, as it covers all Web-independent foundational aspects. Its presentation is self-contained and does not require prior background knowledge. It can also be used in the context of classic courses on data management, allowing the instructor to cover both structured and unstructured data in various formats. Its classroom use is facilitated by a set of slides, which can be downloaded from www.search-computing.org.Trade ReviewFrom the reviews:“The book covers not only a wide range, but everything that is essential to the topic of Web information retrieval. … this book is an excellent starting point into the field of Web information retrieval, and can be recommended for classroom use.” (Gottfried Vossen, zbMATH, Vol. 1283, 2014)“... this book is a valuable resource for students and instructors in web IR, primarily as a reference to supplement course teaching. Researchers and practitioners should find the book a useful quick reference guide for key concepts, techniques, and recent trends in web IR.” (Wingyan Chung, ACM Computing Reviews, July 2014)Table of ContentsPart I Principles of Information Retrieval.- An Introduction to Information Retrieval.- The Information Retrieval Process.- Information Retrieval Models.- Classification and Clustering.- Natural Language Processing for Search.- Part II Information Retrieval for the Web.- Search Engines.- Link Analysis.- Recommendation and Diversification for the Web.- Advertising in Search.- Part III Advanced Aspects of Web Search.- Publishing Data on the Web.- Meta-Search and Multi-Domain Search.- Semantic Search.- Multimedia Search.- Search Process and Interfaces.- Human Computation and Crowd Search.

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Book SynopsisThis book constitutes the thoroughly refereed joint post-proceedings of the Third International Workshop on Mining Ubiquitous and Social Environments, MUSE 2012, held in Bristol, UK, in September 2012, and the Third International Workshop on Modeling Social Media, MSM 2012, held in Milwaukee, WI, USA, in June 2012. The 8 full papers included in the book are revised and significantly extended versions of papers submitted to the workshops. They cover a wide range of topics organized in three main themes: communities and group structure in ubiquitous social media; ubiquitous modeling and aspects of social interactions and influence.Table of ContentsHow to Carve up the World: Learning and Collaboration for Structure Recommendation.- A Topological Approach for Detecting Twitter Communities with Common Interests.- Using Geographic Cost Functions to Discover Vessel Itineraries from AIS Messages.- Social Media as a Source of Sensing to Study City Dynamics and Urban Social Behavior: Approaches, Models and Opportunities.- An Analysis of Interactions within and between Extreme Right Communities in Social Media.- Who will Interact with Whom? A Case-Study in Second Life Using Online Social Network and Location-Based Social Network Features to Predict Interactions between Users.- Identifying Influential Users by Their Postings in Social Networks.- Modeling a Web Forum Ecosystem into an Enriched Social Graph.

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Book SynopsisBuild petabyte-scale data lakes using S3 and Lake Formation. Implement real-time streaming pipelines with Kinesis and Lambda. Design cost-optimized data warehouses using Amazon Redshift. Create modern data mesh architectures on AWS.

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Book SynopsisThis open access book summarizes the first two decades of the NII Testbeds and Community for Information access Research (NTCIR). NTCIR is a series of evaluation forums run by a global team of researchers and hosted by the National Institute of Informatics (NII), Japan. The book is unique in that it discusses not just what was done at NTCIR, but also how it was done and the impact it has achieved. For example, in some chapters the reader sees the early seeds of what eventually grew to be the search engines that provide access to content on the World Wide Web, today’s smartphones that can tailor what they show to the needs of their owners, and the smart speakers that enrich our lives at home and on the move. We also get glimpses into how new search engines can be built for mathematical formulae, or for the digital record of a lived human life. Key to the success of the NTCIR endeavor was early recognition that information access research is an empirical discipline and that evaluation therefore lay at the core of the enterprise. Evaluation is thus at the heart of each chapter in this book. They show, for example, how the recognition that some documents are more important than others has shaped thinking about evaluation design. The thirty-three contributors to this volume speak for the many hundreds of researchers from dozens of countries around the world who together shaped NTCIR as organizers and participants. This book is suitable for researchers, practitioners, and students—anyone who wants to learn about past and present evaluation efforts in information retrieval, information access, and natural language processing, as well as those who want to participate in an evaluation task or even to design and organize one.Table of ContentsChapter 1. Graded Relevance.- Chapter 2. Experiments on Cross-Language Information Retrieval using Comparable Corpora of Chinese, Japanese, and Korean Languages.- Chapter 3. Text Summarization Challenge.- Chapter 4. Challenges in Patent Information Retrieval.- Chapter 5. Multi-Modal Summarization.- Chapter 6. Opinion Analysis Corpora Across Languages.- Chapter 7. Patent Translation.- Chapter 8. Component-Based Evaluation for Question Answering.- Chapter 9. Temporal Information Access.- Chapter 10. SogouQ.- Chapter 11. Evaluation of Information Access with Smartphones.- Chapter 12. Mathematical Information Retrieval.- Chapter 13. Experiments in Lifelog Organisation and Retrieval at NTCIR.- Chapter 14. The Future of Information Retrieval Evaluation.

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Book SynopsisThis book gathers a collection of high-quality peer-reviewed research papers presented at International Conference on Cyber Intelligence and Information Retrieval (CIIR 2021), held at Institute of Engineering & Management, Kolkata, India during 20–21 May 2021. The book covers research papers in the field of privacy and security in the cloud, data loss prevention and recovery, high-performance networks, network security and cryptography, image and signal processing, artificial immune systems, information and network security, data science techniques and applications, data warehousing and data mining, data mining in dynamic environment, higher-order neural computing, rough set and fuzzy set theory, and nature-inspired computing techniques. Table of ContentsDTNMA: Identifying Routing Attacks in Delay-Tolerant Network.- Classification Framework for Fraud Detection Using Hidden Markov Model.- Analysis of the Beaufort Cipher Expansion Technique and Its Usage in Providing Data Security in Cloud.- Virtual Keyboard Using Image Processing & Computer Vision.- Next Step to the Future of Restaurants Through Artificial Intelligence and Facial Recognition.- A Comparative Study into Stock Market Prediction Through Various Sentiment Analysis Algorithms.- Bangla Document Categorization Using Deep RNN Model with Attention Mechanism.- Bangla Handwritten Digit Recognition.- A Comparative Study on Sentiment Analysis Influencing Word Embedding Using SVM and KNN.- COVID-19 Pandemic Diagnosis and Analysis Using Clinical Decision Support Systems.- Predictive Analysis of the Recovery Rate from Corona Virus(Covid-19).- Deep Learning Approaches for Spatio-Temporal Clues Modelling.- The Practical Enactment of Robotics and Artificial Intelligence Technologies in E-COMMERCE.- Comparative Analysis of Brain Tumor Segmentation with Fuzzy C-Means Using Multi-Core CPU and CUDA on GPU.- Multiregional Segmentation of High-Grade Glioma Using Modified Deep UNET Model with Edge-detected Multimodal MRI Images.

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Book SynopsisDesign and architect new generation cloud-based data warehouses using Azure and AWS. This book provides an in-depth understanding of how to build modern cloud-native data warehouses, as well as their history and evolution. The book starts by covering foundational data warehouse concepts, and introduces modern features such as distributed processing, big data storage, data streaming, and processing data on the cloud. You will gain an understanding of the synergy, relevance, and usage data warehousing standard practices in the modern world of distributed data processing. The authors walk you through the essential concepts of Data Mesh, Data Lake, Lakehouse, and Delta Lake. And they demonstrate the services and offerings available on Azure and AWS that deal with data orchestration, data democratization, data governance, data security, and business intelligence. After completing this book, you will be ready to design and architect enterprise-grade, cloud-based modern data warehouses using industry best practices and guidelines. What You Will Learn Understand the core concepts underlying modern data warehouses Design and build cloud-native data warehouses Gain a practical approach to architecting and building data warehouses on Azure and AWS Implement modern data warehousing components such as Data Mesh, Data Lake, Delta Lake, and Lakehouse Process data through pandas and evaluate your model’s performance using metrics such as F1-score, precision, and recall Apply deep learning to supervised, semi-supervised, and unsupervised anomaly detection tasks for tabular datasets and time series applications Who This Book Is For Experienced developers, cloud architects, and technology enthusiasts looking to build cloud-based modern data warehouses using Azure and AWSTable of ContentsChapter 1: Introduction.- Chapter 2: Modern Data Warehouses.- Chapter 3: Data Lake, Lake House, and Delta Lake.- Chapter 4: Data Mesh.- Chapter 5: Data Orchestration Techniques.- Chapter 6: Data Democratization, Governance, and Security.- Chapter 7: Business Intelligence.

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