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The Semantic Web : 21st International Conference, ESWC 2024, Hersonissos, Crete, Greece, May 26-30, 2024, Proceedings, Part II
The Semantic Web : 21st International Conference, ESWC 2024, Hersonissos, Crete, Greece, May 26-30, 2024, Proceedings, Part II
Autore Meroño Peñuela Albert
Edizione [1st ed.]
Pubbl/distr/stampa Cham : , : Springer, , 2024
Descrizione fisica 1 online resource (277 pages)
Altri autori (Persone) DimouAnastasia
TroncyRaphaël
HartigOlaf
AcostaMaribel
AlamMehwish
PaulheimHeiko
LisenaPasquale
Collana Lecture Notes in Computer Science Series
ISBN 3-031-60635-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents - Part II -- Contents - Part I -- Resource -- PyGraft: Configurable Generation of Synthetic Schemas and Knowledge Graphs at Your Fingertips -- 1 Introduction -- 2 Related Work -- 3 PyGraft Description -- 3.1 Preliminaries -- 3.2 Overview -- 3.3 Schema Generation -- 3.4 Knowledge Graph Generation -- 4 PyGraft in Action -- 4.1 Efficiency and Scalability Details -- 4.2 Usage Illustration -- 5 Discussion -- 5.1 Potential Uses -- 5.2 Limitations, Sustainability, Maintenance and Future Work -- 6 Conclusion -- References -- NORIA-O: An Ontology for Anomaly Detection and Incident Management in ICT Systems -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Competency Questions and Conceptualization -- 3.2 Domain of Discourse and Modeling Strategy -- 4 NORIA-O: Formalization and Implementation -- 4.1 Resources, Network Interfaces, Network Links and Applications -- 4.2 Logs and Alarms -- 4.3 Trouble Tickets and Change Requests -- 4.4 Agents, Teams and Organizations -- 5 Evaluation -- 6 Use Case: Modeling a Complex IT Infrastructure -- 7 Conclusion and Future Work -- References -- FlexRML: A Flexible and Memory Efficient Knowledge Graph Materializer -- 1 Introduction -- 2 Related Work -- 3 FlexRML: Architecture and Implementation -- 3.1 Preprocessing Step -- 3.2 Mapping Step -- 4 Estimation of Generated RDF Elements -- 4.1 Estimation of triplesMaps Without Join -- 4.2 Estimation of triplesMaps with Join -- 4.3 Estimation of All triplesMaps -- 5 Empirical Evaluation -- 5.1 Accuracy of Result Size Estimator -- 5.2 Performance of Adaptive Hash Function Selection -- 5.3 Comparison with Existing RML Processors -- 6 The Resource FlexRML -- 7 Conclusion and Future Work -- References -- IICONGRAPH: Improved Iconographic and Iconological Statements in Knowledge Graphs -- 1 Introduction.
2 Background, Problem Statement, and Research Requirements -- 2.1 ICON Ontology 2.0 -- 2.2 HyperReal -- 2.3 Wikidata -- 2.4 ArCo -- 3 IICONGRAPH Development and Release -- 3.1 Wikidata's Conversion -- 3.2 ArCo's Conversion -- 3.3 IICONGRAPH Release -- 4 Quantitative Evaluation -- 5 Research-Based Evaluation -- 6 Discussion of the Results -- 7 Related Work -- 8 Conclusion and Future Work -- References -- VisionKG: Unleashing the Power of Visual Datasets via Knowledge Graph -- 1 Introduction -- 2 Related Work -- 3 Unified Access for Integrated Visual Datasets -- 3.1 VisionKG Architecture to Facilitate Unified Access -- 3.2 Linked Datasets and Tasks in VisionKG -- 3.3 Visual Dataset Explorer Powered by SPARQL -- 4 Enforcing FAIR Principles for Visual Datasets -- 4.1 Making Visual Data Assets Findable and Accessible -- 4.2 Ensure Interoperability Across Datasets and Tasks -- 4.3 Enhance Reusability Through a SPARQL Endpoint -- 5 VisionKG: Facilitating Visual Tasks Towards MLOps -- 5.1 Composing Visual Datasets in a Unified Taxonomy -- 5.2 Automating Training and Testing Pipelines -- 5.3 Robust Visual Learning over Diverse Data-Sources -- 6 Conclusions and Future Works -- References -- OfficeGraph: A Knowledge Graph of Office Building IoT Measurements -- 1 Introduction -- 2 Related Work -- 3 Converting the Source Data -- 3.1 Source Data -- 3.2 Original Data Structure -- 3.3 Data Model and Mapping Template -- 3.4 Enrichment -- 4 Description of OfficeGraph -- 4.1 Timepoints -- 4.2 Graph Structure Metrics -- 4.3 Enrichment -- 4.4 Accessing the KG -- 5 Using OfficeGraph -- 5.1 Building Management Data Analytics -- 5.2 Machine Learning on OfficeGraph -- 6 Conclusion -- References -- Musical Meetups Knowledge Graph (MMKG): A Collection of Evidence for Historical Social Network Analysis -- 1 Introduction -- 2 Motivation -- 3 Meetups Ontology.
4 Knowledge Graph Generation Pipeline -- 4.1 Data Collection and Preparation -- 4.2 Entity Recognition -- 4.3 Harmonisation -- 4.4 Knowledge Graph Construction -- 5 MMKG Evaluation -- 5.1 Answering CQs -- 5.2 Feedback Questionnaire from Domain Experts -- 6 Using the MMKG -- 6.1 Music Historians and Domain Experts -- 6.2 Developer Communities -- 7 Resource Availability, Reusability, Sustainability -- 8 Related Work -- 9 Conclusions and Future Work -- References -- Generate and Update Large HDT RDF Knowledge Graphs on Commodity Hardware -- 1 Introduction -- 2 HDT Internals -- 2.1 HDTq -- 3 Related Work -- 4 Contribution -- 4.1 k-HDTCat -- 4.2 k-HDTDiffCat -- 4.3 HDTq Integration -- 5 Experiments -- 5.1 Experiment: Experimentally Determine a Good Value of k in k-HDTCat -- 5.2 Experiment: Comparison with Existing HDT Compression Methods -- 5.3 Experiment: Indexing Wikidata -- 5.4 Experiment: k-HDTDiffCat to Keep Up to Date Datasets -- 6 Code -- 7 Conclusion -- References -- SMW Cloud: A Corpus of Domain-Specific Knowledge Graphs from Semantic MediaWikis -- 1 Introduction -- 2 Methods for Collecting the Corpus -- 2.1 Corpus Provision -- 3 Methods for Analysing the Corpus -- 4 Results and Corpus Statistics -- 4.1 Basic RDF Metrics -- 4.2 Topical Analysis -- 4.3 Ontological Analysis -- 5 Conclusion and Future Work -- 5.1 Limitations -- 5.2 Future Work -- 5.3 Sustainability Plan -- References -- SousLeSens - A Comprehensive Suite for the Industrial Practice of Semantic Knowledge Graphs -- 1 Introduction -- 2 State-of-the-art -- 2.1 Existing Knowledge Engineering Tools -- 2.2 Industrial Feedback -- 3 Specification of SLS -- 3.1 Methodological Foundations -- 3.2 Software Architecture -- 3.3 Tools in SLS -- 4 Validation -- 4.1 Case Studies -- 5 Comparative Analysis -- 6 Conclusion -- References -- MLSea: A Semantic Layer for Discoverable Machine Learning.
1 Introduction -- 2 Motivating Examples -- 3 Related Work -- 4 The MLS Ontology and Taxonomies -- 4.1 MLS Development Methodology and Maintenance -- 4.2 MLSO: The Machine Learning Sailor Ontology -- 4.3 MLST: Machine Learning Sailor Taxonomies -- 5 MLSea-KG: Construction, Publication and Usage -- 5.1 Knowledge Graph Construction Process -- 5.2 Use Case Examples -- 6 Impact of the Resource -- 7 Conclusions and Future Work -- References -- Enabling Social Demography Research Using Semantic Technologies -- 1 Introduction -- 2 Related Work -- 3 Knowledge Graph Construction -- 3.1 Ontology Creation -- 3.2 The MIRA Ontology -- 3.3 Ontology Population -- 3.4 The MIRA-KG -- 4 Evaluation -- 4.1 Ontology Evaluation -- 4.2 Knowledge Graph Evaluation -- 5 Conclusions -- References -- SCOOP All the Constraints' Flavours for Your Knowledge Graph -- 1 Introduction -- 2 Preliminaries and Related Work -- 2.1 Preliminaries -- 2.2 Related Work -- 3 Shape Integration Challenges -- 4 SCOOP -- 4.1 Post-adjustment -- 4.2 Equivalences Identification -- 4.3 Integration and Inconsistencies Resolution -- 4.4 Implementation -- 5 Evaluation -- 6 Conclusion -- References -- FidMark: A Fiducial Marker Ontology for Semantically Describing Visual Markers -- 1 Introduction -- 2 Approach and Methodology -- 2.1 Design Goals -- 3 Ontology Design -- 3.1 Properties and Terminologies -- 3.2 Procedures -- 3.3 Usage -- 4 Ontology Validation and Demonstrator -- 5 Conclusion and Future Work -- References -- Author Index.
Record Nr. UNINA-9910861092003321
Meroño Peñuela Albert  
Cham : , : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
The Semantic Web : 21st International Conference, ESWC 2024, Hersonissos, Crete, Greece, May 26-30, 2024, Proceedings, Part I
The Semantic Web : 21st International Conference, ESWC 2024, Hersonissos, Crete, Greece, May 26-30, 2024, Proceedings, Part I
Autore Meroño Peñuela Albert
Edizione [1st ed.]
Pubbl/distr/stampa Cham : , : Springer, , 2024
Descrizione fisica 1 online resource (0 pages)
Altri autori (Persone) DimouAnastasia
TroncyRaphaël
HartigOlaf
AcostaMaribel
AlamMehwish
PaulheimHeiko
LisenaPasquale
Collana Lecture Notes in Computer Science Series
ISBN 3-031-60626-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents - Part I -- Contents - Part II -- Research -- Do Similar Entities Have Similar Embeddings? -- 1 Introduction -- 2 Related Work -- 3 Approach -- 3.1 Towards a Graph-Based Notion of Similarity -- 3.2 Embedding vs. Graph: A Different Notion of Similarity? -- 4 Experiments -- 4.1 Knowledge Graph Embedding Models -- 4.2 Datasets -- 5 Results and Discussion -- 5.1 Different Notions of Similarity (RQ1) -- 5.2 Correlation Between Rank-Based Metrics and RBO (RQ2) -- 5.3 Analyzing Predicate Importance (RQ3) -- 6 Conclusion and Outlook -- References -- Treat Different Negatives Differently: Enriching Loss Functions with Domain and Range Constraints for Link Prediction -- 1 Introduction -- 2 Related Work -- 2.1 Semantic-Enhanced Approaches -- 2.2 Loss Functions for the Link Prediction Task -- 3 Signature-Driven Loss Functions -- 4 Experimental Setting -- 4.1 Evaluation Metrics -- 4.2 Datasets and Models -- 4.3 Implementation Details -- 5 Results -- 5.1 Global Performance -- 5.2 Ablation Study -- 6 Discussion -- 6.1 Treating Different Negatives Differently (RQ1) -- 6.2 Impact of Signature-Driven Losses on Performance (RQ2) -- 6.3 On the Evaluation of KGEM Predictions for LP -- 7 Conclusion -- A Modified Versions of LSBCEL and LSPLL -- B Bucket Analysis -- References -- QAGCN: Answering Multi-relation Questions via Single-Step Implicit Reasoning over Knowledge Graphs -- 1 Introduction -- 2 Related Work -- 3 QAGCN - A Question-Aware GCN-Based Question Answering Model -- 3.1 Task Definition -- 3.2 The Question-Aware GCN -- 4 Experiments -- 4.1 Effectiveness Evaluation -- 4.2 Comparison with SOTA Reasoning-Based Method - NSM -- 4.3 Efficiency Evaluation -- 4.4 Ablation Study -- 4.5 Case Study with Embedding Visualization -- 5 Conclusion and Outlook -- References.
Leveraging Pre-trained Language Models for Time Interval Prediction in Text-Enhanced Temporal Knowledge Graphs -- 1 Introduction -- 2 Preliminaries -- 3 The Framework -- 4 Experiments -- 4.1 The Datasets -- 4.2 Evaluation Metrics -- 4.3 Experimental Setup -- 4.4 Transductive Time Interval Prediction -- 4.5 Inductive Time Interval Prediction -- 4.6 Fine-Grained Analysis -- 5 Related Work -- 6 Conclusion -- 7 Appendix -- 7.1 Effect of Number of Negative Samples -- 7.2 Evaluation Terminology -- 7.3 Variance Analysis -- References -- A Language Model Based Framework for New Concept Placement in Ontologies -- 1 Introduction -- 2 Related Work -- 2.1 Ontology Concept Placement -- 2.2 Pre-trained Language Models for Ontology Concept Placement -- 3 Problem Statement -- 4 Methodology -- 4.1 Edge Search: Searching Seed Concepts or Edges -- 4.2 Edge Formation and Enrichment -- 4.3 Edge Selection -- 5 Experiments -- 5.1 Data Construction -- 5.2 Metrics -- 5.3 Experimental Settings and Baseline Methods -- 5.4 Results -- 5.5 Ablation Studies -- 5.6 Conclusion and Future Studies -- References -- Low-Dimensional Hyperbolic Knowledge Graph Embedding for Better Extrapolation to Under-Represented Data -- 1 Introduction -- 2 Related Work -- 3 Problem Setup -- 3.1 Knowledge Graph Embedding (KGE) -- 3.2 Riemannian Geometry -- 3.3 Extrapolation -- 3.4 Composition Patterns -- 4 Method: HolmE -- 4.1 HolmE: Holomorphic KG Embedding -- 4.2 Model Analysis -- 5 Experiments -- 5.1 Overall Experiment Design -- 5.2 Extrapolation to Unseen Triples -- 5.3 Extrapolation to Under-Represented Entities -- 5.4 Extrapolation to Under-Represented Relations -- 6 Conclusion -- A Result Details -- References -- SC-Block: Supervised Contrastive Blocking Within Entity Resolution Pipelines -- 1 Introduction -- 2 WDC-Block: A Large Product Blocking Benchmark.
3 SC-Block: Supervised Contrastive Blocking -- 4 Blocking-Only Evaluation -- 4.1 Baseline Blocking Methods -- 4.2 Implementation -- 4.3 Results for Fixed K -- 4.4 Results for 99.5% Recall on Validation Set -- 5 Evaluation Within Entity Resolution Pipelines -- 5.1 F1 Score and Runtime -- 5.2 Impact of Training Time -- 6 Related Work -- 7 Conclusion -- A Appendix - Additional Experiments -- References -- Navigating Ontology Development with Large Language Models -- 1 Introduction -- 2 Related Work -- 2.1 Ontology Engineering -- 2.2 Ontology Learning and Generation -- 2.3 LLMs for Code Generation -- 3 Methodology -- 3.1 Large Language Models -- 3.2 Prompting Methods -- 3.3 Experimental Setup -- 4 Experimental Results -- 4.1 Initial Experiment Results -- 4.2 Main Experiment Results -- 5 Discussion -- 6 Conclusions and Future Work -- References -- ESLM: Improving Entity Summarization by Leveraging Language Models -- 1 Introduction -- 2 Related Work -- 2.1 Entity Summarization -- 2.2 Contextual Language Models -- 3 Approach -- 3.1 Problem Statement -- 3.2 ESLM Model -- 3.3 ESLM Model Enrichment -- 3.4 Entity Summarization -- 4 Experimental Setup -- 4.1 Baselines -- 4.2 Datasets -- 4.3 Experimental Settings -- 5 Results and Analysis -- 5.1 Comparison with State-of-the-Art Approaches -- 5.2 Example Findings -- 5.3 Ablation Study -- 5.4 Computational Requirements and Efficiency of ESLM -- 6 Conclusion and Future Work -- References -- Explanation of Link Predictions on Knowledge Graphs via Levelwise Filtering and Graph Summarization -- 1 Introduction -- 2 Fundamentals -- 2.1 Knowledge Graphs and Embedding Models -- 2.2 Quotient Graph -- 3 Related Works -- 4 The Proposed Approach -- 4.1 Kelpie -- 4.2 Injecting Semantics in the Pre-Filter -- 4.3 Injecting Semantics in the Explanation Builder -- 5 Experimental Evaluation -- 5.1 Experimental Setting.
5.2 Quantitative Evaluation -- 5.3 Qualitative Evaluation -- 6 Conclusions -- A Appendix: Repair of Inconsistent and Unsatisfiable Ontologies -- B Appendix: Hyper-parameters -- References -- Large Language Models for Scientific Question Answering: An Extensive Analysis of the SciQA Benchmark -- 1 Introduction -- 2 Related Work -- 3 Background -- 3.1 Dataset -- 3.2 Approaches -- 4 Methodology -- 4.1 Experiments -- 4.2 Experimental Setup -- 5 Results and Discussion -- 6 Error Analysis -- 7 Limitations -- 8 Conclusions -- A Appendix - Examples -- References -- Efficient Evaluation of Conjunctive Regular Path Queries Using Multi-way Joins -- 1 Introduction -- 2 Preliminaries -- 2.1 RDF and SPARQL -- 2.2 Worst-Case Optimal Multi-way Joins -- 2.3 GenericJoinCRPQ -- 3 Related Work -- 4 Evaluating C2RPQs with Multi-way Joins -- 4.1 Evaluation of RPQs -- 4.2 Evaluation of C2RPQs -- 4.3 Query Planning and Optimizations -- 5 Experimental Results -- 5.1 Systems and Experimental Setup -- 5.2 Datasets and Queries -- 5.3 Evaluation of Execution Strategies -- 5.4 Comparison with Existing Solutions -- 6 Conclusion and Future Work -- References -- Can Contrastive Learning Refine Embeddings -- 1 Introduction -- 2 Preliminaries and Problem Definition -- 2.1 Contrastive Learning -- 2.2 Problem Statement -- 3 Method -- 3.1 Contrastive Learning Limitation -- 3.2 SimSkip Details -- 3.3 Data Augmentation -- 3.4 Theoretical Proof -- 4 Experiments -- 4.1 Experimental Setting -- 4.2 SimSkip for Federated Knowledge Graph Embedding -- 4.3 SimSkip for Image Embedding -- 4.4 SimSkip for Node embedding learned by Supervised Learning -- 4.5 SimSkip for Transformer-based Text Embedding -- 4.6 Ablation Study -- 5 Related Work -- 5.1 Representation Learning -- 5.2 Contrastive Learning -- 6 Conclusion -- References -- In-Use.
Automation of Electronic Invoice Validation Using Knowledge Graph Technologies -- 1 Introduction -- 2 Preliminaries -- 3 Our Approach -- 3.1 EDIFACT Ontology -- 3.2 The EDIFACT-VAL Tool -- 4 Evaluation -- 4.1 Experimental Set up -- 4.2 Results of the Ontology Evaluation -- 4.3 Completeness of the Invoice KG Generated by EDIFACT-Val -- 4.4 Results of Invoice Validation with EDIFACT-Val -- 4.5 Runtime Performance of EDIFACT-Val -- 4.6 In-Use Evaluation -- 5 Related Work -- 6 Conclusion and Future Work -- References -- Towards Cyber Mapping the German Financial System with Knowledge Graphs -- 1 Introduction -- 2 Related Work -- 3 Knowledge Graph Construction -- 3.1 Cyber Mapping Ontology -- 3.2 Structured Data: Financial Domain -- 3.3 Unstructured Data: Fund Prospectus -- 3.4 Provenance Information -- 4 Knowledge Graph Application -- 5 User Study -- 5.1 Setup -- 5.2 Results -- 6 Conclusion and Outlook -- References -- Integrating Domain Knowledge for Enhanced Concept Model Explainability in Plant Disease Classification -- 1 Introduction -- 2 Use Cases -- 3 Related Work -- 4 Methods -- 4.1 Ontology Development (Ontology Based Explanation) -- 4.2 Synthetic Concepts Images Generation -- 4.3 Testing with Concept Activation Vectors (TCAV) -- 5 Experiments and Results -- 5.1 Dataset and Trained Model -- 5.2 Experimental Setup -- 5.3 Findings and Analyses -- 6 Conclusion -- References -- Generative Expression Constrained Knowledge-Based Decoding for Open Data -- 1 Introduction -- 2 Related Work -- 3 Application -- 3.1 Generative Models -- 4 Evaluation -- 4.1 Quantitative Results -- 4.2 Qualitative User Testing -- 5 Impact and Deployment -- 6 Conclusions and Future Work -- A S-expression functions considered in GECKO -- References -- OntoEditor: Real-Time Collaboration via Distributed Version Control for Ontology Development -- 1 Introduction -- 2 Motivation.
3 Related Work.
Record Nr. UNINA-9910861091703321
Meroño Peñuela Albert  
Cham : , : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
The Semantic Web : 21st International Conference, ESWC 2024, Hersonissos, Crete, Greece, May 26-30, 2024, Proceedings, Part II
The Semantic Web : 21st International Conference, ESWC 2024, Hersonissos, Crete, Greece, May 26-30, 2024, Proceedings, Part II
Autore Meroño Peñuela Albert
Edizione [1st ed.]
Pubbl/distr/stampa Cham : , : Springer, , 2024
Descrizione fisica 1 online resource (277 pages)
Altri autori (Persone) DimouAnastasia
TroncyRaphaël
HartigOlaf
AcostaMaribel
AlamMehwish
PaulheimHeiko
LisenaPasquale
Collana Lecture Notes in Computer Science Series
ISBN 3-031-60635-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents - Part II -- Contents - Part I -- Resource -- PyGraft: Configurable Generation of Synthetic Schemas and Knowledge Graphs at Your Fingertips -- 1 Introduction -- 2 Related Work -- 3 PyGraft Description -- 3.1 Preliminaries -- 3.2 Overview -- 3.3 Schema Generation -- 3.4 Knowledge Graph Generation -- 4 PyGraft in Action -- 4.1 Efficiency and Scalability Details -- 4.2 Usage Illustration -- 5 Discussion -- 5.1 Potential Uses -- 5.2 Limitations, Sustainability, Maintenance and Future Work -- 6 Conclusion -- References -- NORIA-O: An Ontology for Anomaly Detection and Incident Management in ICT Systems -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Competency Questions and Conceptualization -- 3.2 Domain of Discourse and Modeling Strategy -- 4 NORIA-O: Formalization and Implementation -- 4.1 Resources, Network Interfaces, Network Links and Applications -- 4.2 Logs and Alarms -- 4.3 Trouble Tickets and Change Requests -- 4.4 Agents, Teams and Organizations -- 5 Evaluation -- 6 Use Case: Modeling a Complex IT Infrastructure -- 7 Conclusion and Future Work -- References -- FlexRML: A Flexible and Memory Efficient Knowledge Graph Materializer -- 1 Introduction -- 2 Related Work -- 3 FlexRML: Architecture and Implementation -- 3.1 Preprocessing Step -- 3.2 Mapping Step -- 4 Estimation of Generated RDF Elements -- 4.1 Estimation of triplesMaps Without Join -- 4.2 Estimation of triplesMaps with Join -- 4.3 Estimation of All triplesMaps -- 5 Empirical Evaluation -- 5.1 Accuracy of Result Size Estimator -- 5.2 Performance of Adaptive Hash Function Selection -- 5.3 Comparison with Existing RML Processors -- 6 The Resource FlexRML -- 7 Conclusion and Future Work -- References -- IICONGRAPH: Improved Iconographic and Iconological Statements in Knowledge Graphs -- 1 Introduction.
2 Background, Problem Statement, and Research Requirements -- 2.1 ICON Ontology 2.0 -- 2.2 HyperReal -- 2.3 Wikidata -- 2.4 ArCo -- 3 IICONGRAPH Development and Release -- 3.1 Wikidata's Conversion -- 3.2 ArCo's Conversion -- 3.3 IICONGRAPH Release -- 4 Quantitative Evaluation -- 5 Research-Based Evaluation -- 6 Discussion of the Results -- 7 Related Work -- 8 Conclusion and Future Work -- References -- VisionKG: Unleashing the Power of Visual Datasets via Knowledge Graph -- 1 Introduction -- 2 Related Work -- 3 Unified Access for Integrated Visual Datasets -- 3.1 VisionKG Architecture to Facilitate Unified Access -- 3.2 Linked Datasets and Tasks in VisionKG -- 3.3 Visual Dataset Explorer Powered by SPARQL -- 4 Enforcing FAIR Principles for Visual Datasets -- 4.1 Making Visual Data Assets Findable and Accessible -- 4.2 Ensure Interoperability Across Datasets and Tasks -- 4.3 Enhance Reusability Through a SPARQL Endpoint -- 5 VisionKG: Facilitating Visual Tasks Towards MLOps -- 5.1 Composing Visual Datasets in a Unified Taxonomy -- 5.2 Automating Training and Testing Pipelines -- 5.3 Robust Visual Learning over Diverse Data-Sources -- 6 Conclusions and Future Works -- References -- OfficeGraph: A Knowledge Graph of Office Building IoT Measurements -- 1 Introduction -- 2 Related Work -- 3 Converting the Source Data -- 3.1 Source Data -- 3.2 Original Data Structure -- 3.3 Data Model and Mapping Template -- 3.4 Enrichment -- 4 Description of OfficeGraph -- 4.1 Timepoints -- 4.2 Graph Structure Metrics -- 4.3 Enrichment -- 4.4 Accessing the KG -- 5 Using OfficeGraph -- 5.1 Building Management Data Analytics -- 5.2 Machine Learning on OfficeGraph -- 6 Conclusion -- References -- Musical Meetups Knowledge Graph (MMKG): A Collection of Evidence for Historical Social Network Analysis -- 1 Introduction -- 2 Motivation -- 3 Meetups Ontology.
4 Knowledge Graph Generation Pipeline -- 4.1 Data Collection and Preparation -- 4.2 Entity Recognition -- 4.3 Harmonisation -- 4.4 Knowledge Graph Construction -- 5 MMKG Evaluation -- 5.1 Answering CQs -- 5.2 Feedback Questionnaire from Domain Experts -- 6 Using the MMKG -- 6.1 Music Historians and Domain Experts -- 6.2 Developer Communities -- 7 Resource Availability, Reusability, Sustainability -- 8 Related Work -- 9 Conclusions and Future Work -- References -- Generate and Update Large HDT RDF Knowledge Graphs on Commodity Hardware -- 1 Introduction -- 2 HDT Internals -- 2.1 HDTq -- 3 Related Work -- 4 Contribution -- 4.1 k-HDTCat -- 4.2 k-HDTDiffCat -- 4.3 HDTq Integration -- 5 Experiments -- 5.1 Experiment: Experimentally Determine a Good Value of k in k-HDTCat -- 5.2 Experiment: Comparison with Existing HDT Compression Methods -- 5.3 Experiment: Indexing Wikidata -- 5.4 Experiment: k-HDTDiffCat to Keep Up to Date Datasets -- 6 Code -- 7 Conclusion -- References -- SMW Cloud: A Corpus of Domain-Specific Knowledge Graphs from Semantic MediaWikis -- 1 Introduction -- 2 Methods for Collecting the Corpus -- 2.1 Corpus Provision -- 3 Methods for Analysing the Corpus -- 4 Results and Corpus Statistics -- 4.1 Basic RDF Metrics -- 4.2 Topical Analysis -- 4.3 Ontological Analysis -- 5 Conclusion and Future Work -- 5.1 Limitations -- 5.2 Future Work -- 5.3 Sustainability Plan -- References -- SousLeSens - A Comprehensive Suite for the Industrial Practice of Semantic Knowledge Graphs -- 1 Introduction -- 2 State-of-the-art -- 2.1 Existing Knowledge Engineering Tools -- 2.2 Industrial Feedback -- 3 Specification of SLS -- 3.1 Methodological Foundations -- 3.2 Software Architecture -- 3.3 Tools in SLS -- 4 Validation -- 4.1 Case Studies -- 5 Comparative Analysis -- 6 Conclusion -- References -- MLSea: A Semantic Layer for Discoverable Machine Learning.
1 Introduction -- 2 Motivating Examples -- 3 Related Work -- 4 The MLS Ontology and Taxonomies -- 4.1 MLS Development Methodology and Maintenance -- 4.2 MLSO: The Machine Learning Sailor Ontology -- 4.3 MLST: Machine Learning Sailor Taxonomies -- 5 MLSea-KG: Construction, Publication and Usage -- 5.1 Knowledge Graph Construction Process -- 5.2 Use Case Examples -- 6 Impact of the Resource -- 7 Conclusions and Future Work -- References -- Enabling Social Demography Research Using Semantic Technologies -- 1 Introduction -- 2 Related Work -- 3 Knowledge Graph Construction -- 3.1 Ontology Creation -- 3.2 The MIRA Ontology -- 3.3 Ontology Population -- 3.4 The MIRA-KG -- 4 Evaluation -- 4.1 Ontology Evaluation -- 4.2 Knowledge Graph Evaluation -- 5 Conclusions -- References -- SCOOP All the Constraints' Flavours for Your Knowledge Graph -- 1 Introduction -- 2 Preliminaries and Related Work -- 2.1 Preliminaries -- 2.2 Related Work -- 3 Shape Integration Challenges -- 4 SCOOP -- 4.1 Post-adjustment -- 4.2 Equivalences Identification -- 4.3 Integration and Inconsistencies Resolution -- 4.4 Implementation -- 5 Evaluation -- 6 Conclusion -- References -- FidMark: A Fiducial Marker Ontology for Semantically Describing Visual Markers -- 1 Introduction -- 2 Approach and Methodology -- 2.1 Design Goals -- 3 Ontology Design -- 3.1 Properties and Terminologies -- 3.2 Procedures -- 3.3 Usage -- 4 Ontology Validation and Demonstrator -- 5 Conclusion and Future Work -- References -- Author Index.
Record Nr. UNISA-996601563103316
Meroño Peñuela Albert  
Cham : , : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
The Semantic Web : 21st International Conference, ESWC 2024, Hersonissos, Crete, Greece, May 26-30, 2024, Proceedings, Part I
The Semantic Web : 21st International Conference, ESWC 2024, Hersonissos, Crete, Greece, May 26-30, 2024, Proceedings, Part I
Autore Meroño Peñuela Albert
Edizione [1st ed.]
Pubbl/distr/stampa Cham : , : Springer, , 2024
Descrizione fisica 1 online resource (0 pages)
Altri autori (Persone) DimouAnastasia
TroncyRaphaël
HartigOlaf
AcostaMaribel
AlamMehwish
PaulheimHeiko
LisenaPasquale
Collana Lecture Notes in Computer Science Series
ISBN 3-031-60626-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents - Part I -- Contents - Part II -- Research -- Do Similar Entities Have Similar Embeddings? -- 1 Introduction -- 2 Related Work -- 3 Approach -- 3.1 Towards a Graph-Based Notion of Similarity -- 3.2 Embedding vs. Graph: A Different Notion of Similarity? -- 4 Experiments -- 4.1 Knowledge Graph Embedding Models -- 4.2 Datasets -- 5 Results and Discussion -- 5.1 Different Notions of Similarity (RQ1) -- 5.2 Correlation Between Rank-Based Metrics and RBO (RQ2) -- 5.3 Analyzing Predicate Importance (RQ3) -- 6 Conclusion and Outlook -- References -- Treat Different Negatives Differently: Enriching Loss Functions with Domain and Range Constraints for Link Prediction -- 1 Introduction -- 2 Related Work -- 2.1 Semantic-Enhanced Approaches -- 2.2 Loss Functions for the Link Prediction Task -- 3 Signature-Driven Loss Functions -- 4 Experimental Setting -- 4.1 Evaluation Metrics -- 4.2 Datasets and Models -- 4.3 Implementation Details -- 5 Results -- 5.1 Global Performance -- 5.2 Ablation Study -- 6 Discussion -- 6.1 Treating Different Negatives Differently (RQ1) -- 6.2 Impact of Signature-Driven Losses on Performance (RQ2) -- 6.3 On the Evaluation of KGEM Predictions for LP -- 7 Conclusion -- A Modified Versions of LSBCEL and LSPLL -- B Bucket Analysis -- References -- QAGCN: Answering Multi-relation Questions via Single-Step Implicit Reasoning over Knowledge Graphs -- 1 Introduction -- 2 Related Work -- 3 QAGCN - A Question-Aware GCN-Based Question Answering Model -- 3.1 Task Definition -- 3.2 The Question-Aware GCN -- 4 Experiments -- 4.1 Effectiveness Evaluation -- 4.2 Comparison with SOTA Reasoning-Based Method - NSM -- 4.3 Efficiency Evaluation -- 4.4 Ablation Study -- 4.5 Case Study with Embedding Visualization -- 5 Conclusion and Outlook -- References.
Leveraging Pre-trained Language Models for Time Interval Prediction in Text-Enhanced Temporal Knowledge Graphs -- 1 Introduction -- 2 Preliminaries -- 3 The Framework -- 4 Experiments -- 4.1 The Datasets -- 4.2 Evaluation Metrics -- 4.3 Experimental Setup -- 4.4 Transductive Time Interval Prediction -- 4.5 Inductive Time Interval Prediction -- 4.6 Fine-Grained Analysis -- 5 Related Work -- 6 Conclusion -- 7 Appendix -- 7.1 Effect of Number of Negative Samples -- 7.2 Evaluation Terminology -- 7.3 Variance Analysis -- References -- A Language Model Based Framework for New Concept Placement in Ontologies -- 1 Introduction -- 2 Related Work -- 2.1 Ontology Concept Placement -- 2.2 Pre-trained Language Models for Ontology Concept Placement -- 3 Problem Statement -- 4 Methodology -- 4.1 Edge Search: Searching Seed Concepts or Edges -- 4.2 Edge Formation and Enrichment -- 4.3 Edge Selection -- 5 Experiments -- 5.1 Data Construction -- 5.2 Metrics -- 5.3 Experimental Settings and Baseline Methods -- 5.4 Results -- 5.5 Ablation Studies -- 5.6 Conclusion and Future Studies -- References -- Low-Dimensional Hyperbolic Knowledge Graph Embedding for Better Extrapolation to Under-Represented Data -- 1 Introduction -- 2 Related Work -- 3 Problem Setup -- 3.1 Knowledge Graph Embedding (KGE) -- 3.2 Riemannian Geometry -- 3.3 Extrapolation -- 3.4 Composition Patterns -- 4 Method: HolmE -- 4.1 HolmE: Holomorphic KG Embedding -- 4.2 Model Analysis -- 5 Experiments -- 5.1 Overall Experiment Design -- 5.2 Extrapolation to Unseen Triples -- 5.3 Extrapolation to Under-Represented Entities -- 5.4 Extrapolation to Under-Represented Relations -- 6 Conclusion -- A Result Details -- References -- SC-Block: Supervised Contrastive Blocking Within Entity Resolution Pipelines -- 1 Introduction -- 2 WDC-Block: A Large Product Blocking Benchmark.
3 SC-Block: Supervised Contrastive Blocking -- 4 Blocking-Only Evaluation -- 4.1 Baseline Blocking Methods -- 4.2 Implementation -- 4.3 Results for Fixed K -- 4.4 Results for 99.5% Recall on Validation Set -- 5 Evaluation Within Entity Resolution Pipelines -- 5.1 F1 Score and Runtime -- 5.2 Impact of Training Time -- 6 Related Work -- 7 Conclusion -- A Appendix - Additional Experiments -- References -- Navigating Ontology Development with Large Language Models -- 1 Introduction -- 2 Related Work -- 2.1 Ontology Engineering -- 2.2 Ontology Learning and Generation -- 2.3 LLMs for Code Generation -- 3 Methodology -- 3.1 Large Language Models -- 3.2 Prompting Methods -- 3.3 Experimental Setup -- 4 Experimental Results -- 4.1 Initial Experiment Results -- 4.2 Main Experiment Results -- 5 Discussion -- 6 Conclusions and Future Work -- References -- ESLM: Improving Entity Summarization by Leveraging Language Models -- 1 Introduction -- 2 Related Work -- 2.1 Entity Summarization -- 2.2 Contextual Language Models -- 3 Approach -- 3.1 Problem Statement -- 3.2 ESLM Model -- 3.3 ESLM Model Enrichment -- 3.4 Entity Summarization -- 4 Experimental Setup -- 4.1 Baselines -- 4.2 Datasets -- 4.3 Experimental Settings -- 5 Results and Analysis -- 5.1 Comparison with State-of-the-Art Approaches -- 5.2 Example Findings -- 5.3 Ablation Study -- 5.4 Computational Requirements and Efficiency of ESLM -- 6 Conclusion and Future Work -- References -- Explanation of Link Predictions on Knowledge Graphs via Levelwise Filtering and Graph Summarization -- 1 Introduction -- 2 Fundamentals -- 2.1 Knowledge Graphs and Embedding Models -- 2.2 Quotient Graph -- 3 Related Works -- 4 The Proposed Approach -- 4.1 Kelpie -- 4.2 Injecting Semantics in the Pre-Filter -- 4.3 Injecting Semantics in the Explanation Builder -- 5 Experimental Evaluation -- 5.1 Experimental Setting.
5.2 Quantitative Evaluation -- 5.3 Qualitative Evaluation -- 6 Conclusions -- A Appendix: Repair of Inconsistent and Unsatisfiable Ontologies -- B Appendix: Hyper-parameters -- References -- Large Language Models for Scientific Question Answering: An Extensive Analysis of the SciQA Benchmark -- 1 Introduction -- 2 Related Work -- 3 Background -- 3.1 Dataset -- 3.2 Approaches -- 4 Methodology -- 4.1 Experiments -- 4.2 Experimental Setup -- 5 Results and Discussion -- 6 Error Analysis -- 7 Limitations -- 8 Conclusions -- A Appendix - Examples -- References -- Efficient Evaluation of Conjunctive Regular Path Queries Using Multi-way Joins -- 1 Introduction -- 2 Preliminaries -- 2.1 RDF and SPARQL -- 2.2 Worst-Case Optimal Multi-way Joins -- 2.3 GenericJoinCRPQ -- 3 Related Work -- 4 Evaluating C2RPQs with Multi-way Joins -- 4.1 Evaluation of RPQs -- 4.2 Evaluation of C2RPQs -- 4.3 Query Planning and Optimizations -- 5 Experimental Results -- 5.1 Systems and Experimental Setup -- 5.2 Datasets and Queries -- 5.3 Evaluation of Execution Strategies -- 5.4 Comparison with Existing Solutions -- 6 Conclusion and Future Work -- References -- Can Contrastive Learning Refine Embeddings -- 1 Introduction -- 2 Preliminaries and Problem Definition -- 2.1 Contrastive Learning -- 2.2 Problem Statement -- 3 Method -- 3.1 Contrastive Learning Limitation -- 3.2 SimSkip Details -- 3.3 Data Augmentation -- 3.4 Theoretical Proof -- 4 Experiments -- 4.1 Experimental Setting -- 4.2 SimSkip for Federated Knowledge Graph Embedding -- 4.3 SimSkip for Image Embedding -- 4.4 SimSkip for Node embedding learned by Supervised Learning -- 4.5 SimSkip for Transformer-based Text Embedding -- 4.6 Ablation Study -- 5 Related Work -- 5.1 Representation Learning -- 5.2 Contrastive Learning -- 6 Conclusion -- References -- In-Use.
Automation of Electronic Invoice Validation Using Knowledge Graph Technologies -- 1 Introduction -- 2 Preliminaries -- 3 Our Approach -- 3.1 EDIFACT Ontology -- 3.2 The EDIFACT-VAL Tool -- 4 Evaluation -- 4.1 Experimental Set up -- 4.2 Results of the Ontology Evaluation -- 4.3 Completeness of the Invoice KG Generated by EDIFACT-Val -- 4.4 Results of Invoice Validation with EDIFACT-Val -- 4.5 Runtime Performance of EDIFACT-Val -- 4.6 In-Use Evaluation -- 5 Related Work -- 6 Conclusion and Future Work -- References -- Towards Cyber Mapping the German Financial System with Knowledge Graphs -- 1 Introduction -- 2 Related Work -- 3 Knowledge Graph Construction -- 3.1 Cyber Mapping Ontology -- 3.2 Structured Data: Financial Domain -- 3.3 Unstructured Data: Fund Prospectus -- 3.4 Provenance Information -- 4 Knowledge Graph Application -- 5 User Study -- 5.1 Setup -- 5.2 Results -- 6 Conclusion and Outlook -- References -- Integrating Domain Knowledge for Enhanced Concept Model Explainability in Plant Disease Classification -- 1 Introduction -- 2 Use Cases -- 3 Related Work -- 4 Methods -- 4.1 Ontology Development (Ontology Based Explanation) -- 4.2 Synthetic Concepts Images Generation -- 4.3 Testing with Concept Activation Vectors (TCAV) -- 5 Experiments and Results -- 5.1 Dataset and Trained Model -- 5.2 Experimental Setup -- 5.3 Findings and Analyses -- 6 Conclusion -- References -- Generative Expression Constrained Knowledge-Based Decoding for Open Data -- 1 Introduction -- 2 Related Work -- 3 Application -- 3.1 Generative Models -- 4 Evaluation -- 4.1 Quantitative Results -- 4.2 Qualitative User Testing -- 5 Impact and Deployment -- 6 Conclusions and Future Work -- A S-expression functions considered in GECKO -- References -- OntoEditor: Real-Time Collaboration via Distributed Version Control for Ontology Development -- 1 Introduction -- 2 Motivation.
3 Related Work.
Record Nr. UNISA-996601563003316
Meroño Peñuela Albert  
Cham : , : Springer, , 2024
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Lo trovi qui: Univ. di Salerno
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The Semantic Web [[electronic resource] ] : 14th International Conference, ESWC 2017, Portorož, Slovenia, May 28 – June 1, 2017, Proceedings, Part II / / edited by Eva Blomqvist, Diana Maynard, Aldo Gangemi, Rinke Hoekstra, Pascal Hitzler, Olaf Hartig
The Semantic Web [[electronic resource] ] : 14th International Conference, ESWC 2017, Portorož, Slovenia, May 28 – June 1, 2017, Proceedings, Part II / / edited by Eva Blomqvist, Diana Maynard, Aldo Gangemi, Rinke Hoekstra, Pascal Hitzler, Olaf Hartig
Edizione [1st ed. 2017.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Descrizione fisica 1 online resource (XXX, 281 p. 70 illus.)
Disciplina 025.0427
Collana Information Systems and Applications, incl. Internet/Web, and HCI
Soggetto topico Information storage and retrieval
Artificial intelligence
Application software
Computers
Data mining
Software engineering
Information Storage and Retrieval
Artificial Intelligence
Information Systems Applications (incl. Internet)
Theory of Computation
Data Mining and Knowledge Discovery
Software Engineering
ISBN 3-319-58451-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996466319003316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
The Semantic Web [[electronic resource] ] : 14th International Conference, ESWC 2017, Portorož, Slovenia, May 28 – June 1, 2017, Proceedings, Part I / / edited by Eva Blomqvist, Diana Maynard, Aldo Gangemi, Rinke Hoekstra, Pascal Hitzler, Olaf Hartig
The Semantic Web [[electronic resource] ] : 14th International Conference, ESWC 2017, Portorož, Slovenia, May 28 – June 1, 2017, Proceedings, Part I / / edited by Eva Blomqvist, Diana Maynard, Aldo Gangemi, Rinke Hoekstra, Pascal Hitzler, Olaf Hartig
Edizione [1st ed. 2017.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Descrizione fisica 1 online resource (XXX, 673 p. 151 illus.)
Disciplina 025.04
Collana Information Systems and Applications, incl. Internet/Web, and HCI
Soggetto topico Information storage and retrieval
Artificial intelligence
Application software
Computers
Data mining
Software engineering
Information Storage and Retrieval
Artificial Intelligence
Information Systems Applications (incl. Internet)
Theory of Computation
Data Mining and Knowledge Discovery
Software Engineering
ISBN 3-319-58068-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Abstract of Keynotes -- Bringing Semantic Intelligence to Financial Markets -- Disrupting the Semantic Comfort Zone -- Semantic Web Technologies for Digital Archives -- Contents - Part I -- Contents -- Part II -- Semantic Data Management, Big Data, and Scalability Track -- Traffic Analytics for Linked Data Publishers -- 1 Introduction -- 2 Related Work -- 3 System Overview -- 4 Traffic Metrics -- 4.1 Content Metrics Extraction -- 4.2 Protocol Metrics Extraction and SPARQL Queries Weight -- 4.3 Audience Metrics Extraction and Visitor Session Identification -- 5 Results -- 6 Conclusions and Future Work -- References -- Explaining Graph Navigational Queries -- 1 Introduction -- 2 Related Work -- 3 Building Query Explanations with GeL -- 3.1 Syntax of GeL -- 3.2 Semantics of GeL -- 4 Algorithms and Complexity -- 4.1 Translating GeL into SPARQL -- 5 Implementation and Evaluation -- 6 Concluding Remarks and Future Work -- References -- A SPARQL Extension for Generating RDF from Heterogeneous Formats -- 1 Introduction -- 2 Use-Cases and Requirements -- 3 Related Work -- 4 SPARQL-Generate Specification -- 4.1 SPARQL-Generate Concrete Syntax -- 4.2 Abstract Syntax -- 4.3 SPARQL-Generate Semantics -- 5 Implementation and Evaluation -- 5.1 Generic Approach -- 5.2 Implementation on Top of Apache Jena -- 5.3 Evaluation -- 6 Conclusion and Future Work -- References -- Linked Data Track -- Exploiting Source-Object Networks to Resolve Object Conflicts in Linked Data -- 1 Introduction -- 2 Preliminaries -- 2.1 Basic Definitions -- 2.2 Problem Analysis -- 3 ObResolution Method -- 3.1 Model Details -- 3.2 Inference Algorithms -- 3.3 Practical Issues -- 4 Evaluation -- 4.1 The Datasets -- 4.2 Comparative Methods and Metrics -- 4.3 Results -- 5 Related Work -- 6 Conclusion and Future Work -- References.
Methods for Intrinsic Evaluation of Links in the Web of Data -- 1 Introduction -- 2 Preliminaries -- 3 Principles for Data Interlinking in the Web of Data -- 4 Intrinsic Measures for Assessing the Quality of Links -- 4.1 Basic Descriptive Statistics -- 4.2 Principles-Based Measures -- 5 Empirical Analysis -- 5.1 Data -- 5.2 Methodology -- 5.3 Measure Validation -- 5.4 Results -- 6 Related Work -- 7 Conclusions and Future Work -- References -- Entity Deduplication on ScholarlyData -- 1 Introduction -- 2 Related Work -- 3 Deduplication -- 3.1 Blocking Strategies -- 3.2 Classification -- 3.3 URI Harmonisation -- 4 Experiments -- 4.1 The Train/test Dataset -- 4.2 Blocking -- 4.3 Classification -- 4.4 URI Harmonisation -- 5 Conclusions -- References -- Machine Learning Track -- WOMBAT -- A Generalization Approach for Automatic Link Discovery -- 1 Introduction -- 2 Preliminaries -- 3 Constructing and Traversing Link Specifications -- 3.1 Learning Atomic Specifications -- 3.2 Combining Atomic Specifications -- 4 The WOMBAT Algorithm -- 5 Evaluation -- 6 Related Work -- 7 Conclusions and Future Work -- References -- Actively Learning to Rank Semantic Associations for Personalized Contextual Exploration of Knowledge Graphs -- 1 Introduction -- 2 Contextual KG Exploration -- 3 Active Learning to Rank for Semantic Associations -- 3.1 Features -- 4 Experiments -- 4.1 Experimental Settings -- 4.2 Configurations and Baselines -- 4.3 Results and Discussion -- 5 Related Work -- 6 Conclusion -- References -- Synthesizing Knowledge Graphs for Link and Type Prediction Benchmarking -- 1 Introduction -- 2 Related Work -- 3 Knowledge Graph Model -- 4 Synthesis Process -- 5 Experiments -- 6 Conclusion and Outlook -- References -- Online Relation Alignment for Linked Datasets -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 4 Problem Statement.
5 SORAL: Relation Alignment -- 5.1 Candidate Generation -- 5.2 Sampling Strategies -- 5.3 Features -- 6 Experimental Setup -- 7 Results and Discussion -- 7.1 Relation Alignment Accuracy -- 7.2 Query-Execution Overhead -- 8 Conclusion -- References -- Tuning Personalized PageRank for Semantics-Aware Recommendations Based on Linked Open Data -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Graph-Based Representations -- 3.2 Running Personalized PageRank -- 4 Experimental Evaluation -- 4.1 Experimental Protocol -- 4.2 Discussion of the Results -- 5 Conclusions and Future Work -- References -- Terminological Cluster Trees for Disjointness Axiom Discovery -- 1 Introduction -- 2 Related Work -- 3 Disjointness Discovery as a Conceptual Clustering Problem -- 4 Terminological Cluster Trees for Disjointness Learning -- 4.1 Growing Terminological Cluster Trees -- 4.2 Extracting Candidate Disjointness Axioms from TCTs -- 5 Experiments -- 5.1 Re-discovery of a Target Disjoint Axiom -- 5.2 Comparison to Other Approaches Under SDA -- 6 Conclusions and Outlook -- References -- Embedding Learning for Declarative Memories -- 1 Introduction -- 2 Unique-Representation Hypothesis -- 3 Semantic and Episodic Knowledge Graph Models -- 3.1 Semantic Knowledge Graph -- 3.2 An Event Model for Episodic Memory -- 4 Tensor Decompositions -- 4.1 Tensor Decompositions -- 4.2 Inner Product Formulation of Tensor Decompositions -- 5 Querying Memories -- 5.1 Probabilistic Querying -- 5.2 Semantic Memory Derived from Episodic Memory -- 6 Relationships to Human Memories -- 6.1 Unique-Representation Hypothesis for Entities and Predicates -- 6.2 Perception and Memory Formation -- 6.3 Tensor Memory Hypothesis -- 6.4 Semantic Memory and Episodic Memory -- 7 Experiments -- 7.1 Data Set -- 7.2 Evaluation and Implementation -- 7.3 Experimental Results -- 8 Conclusions -- References.
Mobile Web, Sensors, and Semantic Streams Track -- Spatial Ontology-Mediated Query Answering over Mobility Streams -- 1 Introduction -- 2 V2X Integration using a Local Dynamic Map -- 3 Streams, Pulses, and Spatial Databases -- 4 Syntax, Semantics, and Query Language of DL-LiteA (S,F) -- 5 Query Rewriting by Stream Aggregation -- 6 Query Evaluation by Hypertree Decomposition -- 7 Implementation and Experimental Evaluation -- 8 Related Work and Conclusion -- References -- Optimizing the Performance of Concurrent RDF Stream Processing Queries -- 1 Introduction -- 2 Foundations -- 2.1 Multi-way Join -- 2.2 Shared Join Operator and Network of Shared Join Operators -- 3 Optimization for Concurrent CQELS Queries -- 3.1 CQELS+: Network of Shared Join Operators -- 3.2 Load Balancing for Parallel CQELS+ Instances -- 4 Evaluation -- 4.1 Evaluating Shared Joins in CQELS+ -- 4.2 Evaluating Load Balancing over CQELS+ -- 4.3 Evaluating the Query Registration Time -- 5 Related Work -- 6 Conclusions and Future Work -- References -- AGACY Monitoring: A Hybrid Model for Activity Recognition and Uncertainty Handling -- 1 Introduction -- 2 Related Work -- 3 The AGACY Monitoring Architecture Overview -- 4 Knowledge Based Layer -- 4.1 Ontological Modeling -- 4.2 Semantic Reasoning -- 5 Data Driven Layer -- 5.1 Time and Uncertainty-Based Features Extraction -- 5.2 Dempster-Shafer Theory for Activity Classification -- 5.3 Activities Instances Inferring Under Uncertainty -- 6 Evaluation and Discussion -- 6.1 DataSet -- 6.2 Implementation and Experimental Setup -- 6.3 Evaluation and Results -- 7 Conclusion and Future Work -- References -- Natural Language Processing and Information Retrieval Track -- Mapping Natural Language to Description Logic -- 1 Introduction -- 2 Related Work -- 3 Approach Overview -- 3.1 Grammar -- 3.2 Semantic Parser and Surface Realiser.
4 Evaluation and Results -- 4.1 Mapping SIDPs to Complex Axioms -- 4.2 Assessing Correctness -- 4.3 Ontology Enrichment -- 5 Conclusion -- References -- Harnessing Diversity in Crowds and Machines for Better NER Performance -- 1 Introduction -- 2 Use Case and Datasets -- 3 Related Work -- 3.1 Open Knowledge Extraction Systems -- 3.2 Crowdsourcing Named Entities -- 3.3 Multi-NER, Hybrid Named Entity Recognition -- 4 Single-NER vs. Multi-NER Comparison -- 4.1 Single-NER vs. Multi-NER - Entity Surface -- 4.2 Single-NER vs. Multi-NER - Entity Surface and Entity Type -- 4.3 Analysis of False Negative Named Entities -- 4.4 Analysis of False Positive Named Entities -- 5 Experimental Setup -- 5.1 Crowdsourcing Experimental Data -- 5.2 Crowdsourcing Annotation Task -- 5.3 CrowdTruth Metrics -- 6 Results -- 7 Discussion -- 8 Conclusion -- References -- All that Glitters Is Not Gold -- Rule-Based Curation of Reference Datasets for Named Entity Recognition and Entity Linking -- 1 Introduction -- 2 Related Work -- 3 Formal Annotation Framework -- 3.1 Assumptions -- 3.2 Rule Set -- 3.3 Comparison with Related Work -- 3.4 Observations -- 4 Eaglet -- 4.1 Preprocessing Module -- 4.2 Completion Module -- 4.3 Error Detection Pipeline -- 4.4 Review Module -- 5 Evaluation -- 5.1 Experiment I -- 5.2 Experiment II -- 5.3 Experiment III -- 6 Conclusion -- References -- Semantic Annotation of Data Processing Pipelines in Scientific Publications -- 1 Introduction -- 2 Related Work -- 3 The DMS Ontology -- 4 DPP Knowledge Extraction Workflow -- 4.1 Training Data Generation -- 4.2 Classification and NER -- 4.3 Linked Data Generation -- 5 Evaluation -- 5.1 Dataset -- 5.2 Analysis of Rhetorical Classifiers -- 5.3 Quality of Extracted Entities -- 6 Conclusion -- References -- Combining Word and Entity Embeddings for Entity Linking -- 1 Introduction -- 2 Related Work.
3 Combining Word and Entity Embeddings.
Record Nr. UNISA-996466227903316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
The Semantic Web : 14th International Conference, ESWC 2017, Portorož, Slovenia, May 28 – June 1, 2017, Proceedings, Part I / / edited by Eva Blomqvist, Diana Maynard, Aldo Gangemi, Rinke Hoekstra, Pascal Hitzler, Olaf Hartig
The Semantic Web : 14th International Conference, ESWC 2017, Portorož, Slovenia, May 28 – June 1, 2017, Proceedings, Part I / / edited by Eva Blomqvist, Diana Maynard, Aldo Gangemi, Rinke Hoekstra, Pascal Hitzler, Olaf Hartig
Edizione [1st ed. 2017.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Descrizione fisica 1 online resource (XXX, 673 p. 151 illus.)
Disciplina 025.04
Collana Information Systems and Applications, incl. Internet/Web, and HCI
Soggetto topico Information storage and retrieval
Artificial intelligence
Application software
Computers
Data mining
Software engineering
Information Storage and Retrieval
Artificial Intelligence
Information Systems Applications (incl. Internet)
Theory of Computation
Data Mining and Knowledge Discovery
Software Engineering
ISBN 3-319-58068-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Abstract of Keynotes -- Bringing Semantic Intelligence to Financial Markets -- Disrupting the Semantic Comfort Zone -- Semantic Web Technologies for Digital Archives -- Contents - Part I -- Contents -- Part II -- Semantic Data Management, Big Data, and Scalability Track -- Traffic Analytics for Linked Data Publishers -- 1 Introduction -- 2 Related Work -- 3 System Overview -- 4 Traffic Metrics -- 4.1 Content Metrics Extraction -- 4.2 Protocol Metrics Extraction and SPARQL Queries Weight -- 4.3 Audience Metrics Extraction and Visitor Session Identification -- 5 Results -- 6 Conclusions and Future Work -- References -- Explaining Graph Navigational Queries -- 1 Introduction -- 2 Related Work -- 3 Building Query Explanations with GeL -- 3.1 Syntax of GeL -- 3.2 Semantics of GeL -- 4 Algorithms and Complexity -- 4.1 Translating GeL into SPARQL -- 5 Implementation and Evaluation -- 6 Concluding Remarks and Future Work -- References -- A SPARQL Extension for Generating RDF from Heterogeneous Formats -- 1 Introduction -- 2 Use-Cases and Requirements -- 3 Related Work -- 4 SPARQL-Generate Specification -- 4.1 SPARQL-Generate Concrete Syntax -- 4.2 Abstract Syntax -- 4.3 SPARQL-Generate Semantics -- 5 Implementation and Evaluation -- 5.1 Generic Approach -- 5.2 Implementation on Top of Apache Jena -- 5.3 Evaluation -- 6 Conclusion and Future Work -- References -- Linked Data Track -- Exploiting Source-Object Networks to Resolve Object Conflicts in Linked Data -- 1 Introduction -- 2 Preliminaries -- 2.1 Basic Definitions -- 2.2 Problem Analysis -- 3 ObResolution Method -- 3.1 Model Details -- 3.2 Inference Algorithms -- 3.3 Practical Issues -- 4 Evaluation -- 4.1 The Datasets -- 4.2 Comparative Methods and Metrics -- 4.3 Results -- 5 Related Work -- 6 Conclusion and Future Work -- References.
Methods for Intrinsic Evaluation of Links in the Web of Data -- 1 Introduction -- 2 Preliminaries -- 3 Principles for Data Interlinking in the Web of Data -- 4 Intrinsic Measures for Assessing the Quality of Links -- 4.1 Basic Descriptive Statistics -- 4.2 Principles-Based Measures -- 5 Empirical Analysis -- 5.1 Data -- 5.2 Methodology -- 5.3 Measure Validation -- 5.4 Results -- 6 Related Work -- 7 Conclusions and Future Work -- References -- Entity Deduplication on ScholarlyData -- 1 Introduction -- 2 Related Work -- 3 Deduplication -- 3.1 Blocking Strategies -- 3.2 Classification -- 3.3 URI Harmonisation -- 4 Experiments -- 4.1 The Train/test Dataset -- 4.2 Blocking -- 4.3 Classification -- 4.4 URI Harmonisation -- 5 Conclusions -- References -- Machine Learning Track -- WOMBAT -- A Generalization Approach for Automatic Link Discovery -- 1 Introduction -- 2 Preliminaries -- 3 Constructing and Traversing Link Specifications -- 3.1 Learning Atomic Specifications -- 3.2 Combining Atomic Specifications -- 4 The WOMBAT Algorithm -- 5 Evaluation -- 6 Related Work -- 7 Conclusions and Future Work -- References -- Actively Learning to Rank Semantic Associations for Personalized Contextual Exploration of Knowledge Graphs -- 1 Introduction -- 2 Contextual KG Exploration -- 3 Active Learning to Rank for Semantic Associations -- 3.1 Features -- 4 Experiments -- 4.1 Experimental Settings -- 4.2 Configurations and Baselines -- 4.3 Results and Discussion -- 5 Related Work -- 6 Conclusion -- References -- Synthesizing Knowledge Graphs for Link and Type Prediction Benchmarking -- 1 Introduction -- 2 Related Work -- 3 Knowledge Graph Model -- 4 Synthesis Process -- 5 Experiments -- 6 Conclusion and Outlook -- References -- Online Relation Alignment for Linked Datasets -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 4 Problem Statement.
5 SORAL: Relation Alignment -- 5.1 Candidate Generation -- 5.2 Sampling Strategies -- 5.3 Features -- 6 Experimental Setup -- 7 Results and Discussion -- 7.1 Relation Alignment Accuracy -- 7.2 Query-Execution Overhead -- 8 Conclusion -- References -- Tuning Personalized PageRank for Semantics-Aware Recommendations Based on Linked Open Data -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Graph-Based Representations -- 3.2 Running Personalized PageRank -- 4 Experimental Evaluation -- 4.1 Experimental Protocol -- 4.2 Discussion of the Results -- 5 Conclusions and Future Work -- References -- Terminological Cluster Trees for Disjointness Axiom Discovery -- 1 Introduction -- 2 Related Work -- 3 Disjointness Discovery as a Conceptual Clustering Problem -- 4 Terminological Cluster Trees for Disjointness Learning -- 4.1 Growing Terminological Cluster Trees -- 4.2 Extracting Candidate Disjointness Axioms from TCTs -- 5 Experiments -- 5.1 Re-discovery of a Target Disjoint Axiom -- 5.2 Comparison to Other Approaches Under SDA -- 6 Conclusions and Outlook -- References -- Embedding Learning for Declarative Memories -- 1 Introduction -- 2 Unique-Representation Hypothesis -- 3 Semantic and Episodic Knowledge Graph Models -- 3.1 Semantic Knowledge Graph -- 3.2 An Event Model for Episodic Memory -- 4 Tensor Decompositions -- 4.1 Tensor Decompositions -- 4.2 Inner Product Formulation of Tensor Decompositions -- 5 Querying Memories -- 5.1 Probabilistic Querying -- 5.2 Semantic Memory Derived from Episodic Memory -- 6 Relationships to Human Memories -- 6.1 Unique-Representation Hypothesis for Entities and Predicates -- 6.2 Perception and Memory Formation -- 6.3 Tensor Memory Hypothesis -- 6.4 Semantic Memory and Episodic Memory -- 7 Experiments -- 7.1 Data Set -- 7.2 Evaluation and Implementation -- 7.3 Experimental Results -- 8 Conclusions -- References.
Mobile Web, Sensors, and Semantic Streams Track -- Spatial Ontology-Mediated Query Answering over Mobility Streams -- 1 Introduction -- 2 V2X Integration using a Local Dynamic Map -- 3 Streams, Pulses, and Spatial Databases -- 4 Syntax, Semantics, and Query Language of DL-LiteA (S,F) -- 5 Query Rewriting by Stream Aggregation -- 6 Query Evaluation by Hypertree Decomposition -- 7 Implementation and Experimental Evaluation -- 8 Related Work and Conclusion -- References -- Optimizing the Performance of Concurrent RDF Stream Processing Queries -- 1 Introduction -- 2 Foundations -- 2.1 Multi-way Join -- 2.2 Shared Join Operator and Network of Shared Join Operators -- 3 Optimization for Concurrent CQELS Queries -- 3.1 CQELS+: Network of Shared Join Operators -- 3.2 Load Balancing for Parallel CQELS+ Instances -- 4 Evaluation -- 4.1 Evaluating Shared Joins in CQELS+ -- 4.2 Evaluating Load Balancing over CQELS+ -- 4.3 Evaluating the Query Registration Time -- 5 Related Work -- 6 Conclusions and Future Work -- References -- AGACY Monitoring: A Hybrid Model for Activity Recognition and Uncertainty Handling -- 1 Introduction -- 2 Related Work -- 3 The AGACY Monitoring Architecture Overview -- 4 Knowledge Based Layer -- 4.1 Ontological Modeling -- 4.2 Semantic Reasoning -- 5 Data Driven Layer -- 5.1 Time and Uncertainty-Based Features Extraction -- 5.2 Dempster-Shafer Theory for Activity Classification -- 5.3 Activities Instances Inferring Under Uncertainty -- 6 Evaluation and Discussion -- 6.1 DataSet -- 6.2 Implementation and Experimental Setup -- 6.3 Evaluation and Results -- 7 Conclusion and Future Work -- References -- Natural Language Processing and Information Retrieval Track -- Mapping Natural Language to Description Logic -- 1 Introduction -- 2 Related Work -- 3 Approach Overview -- 3.1 Grammar -- 3.2 Semantic Parser and Surface Realiser.
4 Evaluation and Results -- 4.1 Mapping SIDPs to Complex Axioms -- 4.2 Assessing Correctness -- 4.3 Ontology Enrichment -- 5 Conclusion -- References -- Harnessing Diversity in Crowds and Machines for Better NER Performance -- 1 Introduction -- 2 Use Case and Datasets -- 3 Related Work -- 3.1 Open Knowledge Extraction Systems -- 3.2 Crowdsourcing Named Entities -- 3.3 Multi-NER, Hybrid Named Entity Recognition -- 4 Single-NER vs. Multi-NER Comparison -- 4.1 Single-NER vs. Multi-NER - Entity Surface -- 4.2 Single-NER vs. Multi-NER - Entity Surface and Entity Type -- 4.3 Analysis of False Negative Named Entities -- 4.4 Analysis of False Positive Named Entities -- 5 Experimental Setup -- 5.1 Crowdsourcing Experimental Data -- 5.2 Crowdsourcing Annotation Task -- 5.3 CrowdTruth Metrics -- 6 Results -- 7 Discussion -- 8 Conclusion -- References -- All that Glitters Is Not Gold -- Rule-Based Curation of Reference Datasets for Named Entity Recognition and Entity Linking -- 1 Introduction -- 2 Related Work -- 3 Formal Annotation Framework -- 3.1 Assumptions -- 3.2 Rule Set -- 3.3 Comparison with Related Work -- 3.4 Observations -- 4 Eaglet -- 4.1 Preprocessing Module -- 4.2 Completion Module -- 4.3 Error Detection Pipeline -- 4.4 Review Module -- 5 Evaluation -- 5.1 Experiment I -- 5.2 Experiment II -- 5.3 Experiment III -- 6 Conclusion -- References -- Semantic Annotation of Data Processing Pipelines in Scientific Publications -- 1 Introduction -- 2 Related Work -- 3 The DMS Ontology -- 4 DPP Knowledge Extraction Workflow -- 4.1 Training Data Generation -- 4.2 Classification and NER -- 4.3 Linked Data Generation -- 5 Evaluation -- 5.1 Dataset -- 5.2 Analysis of Rhetorical Classifiers -- 5.3 Quality of Extracted Entities -- 6 Conclusion -- References -- Combining Word and Entity Embeddings for Entity Linking -- 1 Introduction -- 2 Related Work.
3 Combining Word and Entity Embeddings.
Record Nr. UNINA-9910484120503321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Materiale a stampa
Lo trovi qui: Univ. Federico II
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The Semantic Web : 14th International Conference, ESWC 2017, Portorož, Slovenia, May 28 – June 1, 2017, Proceedings, Part II / / edited by Eva Blomqvist, Diana Maynard, Aldo Gangemi, Rinke Hoekstra, Pascal Hitzler, Olaf Hartig
The Semantic Web : 14th International Conference, ESWC 2017, Portorož, Slovenia, May 28 – June 1, 2017, Proceedings, Part II / / edited by Eva Blomqvist, Diana Maynard, Aldo Gangemi, Rinke Hoekstra, Pascal Hitzler, Olaf Hartig
Edizione [1st ed. 2017.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Descrizione fisica 1 online resource (XXX, 281 p. 70 illus.)
Disciplina 025.0427
Collana Information Systems and Applications, incl. Internet/Web, and HCI
Soggetto topico Information storage and retrieval
Artificial intelligence
Application software
Computers
Data mining
Software engineering
Information Storage and Retrieval
Artificial Intelligence
Information Systems Applications (incl. Internet)
Theory of Computation
Data Mining and Knowledge Discovery
Software Engineering
ISBN 3-319-58451-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910484281003321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Materiale a stampa
Lo trovi qui: Univ. Federico II
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The Semantic Web – ISWC 2019 [[electronic resource] ] : 18th International Semantic Web Conference, Auckland, New Zealand, October 26–30, 2019, Proceedings, Part II / / edited by Chiara Ghidini, Olaf Hartig, Maria Maleshkova, Vojtěch Svátek, Isabel Cruz, Aidan Hogan, Jie Song, Maxime Lefrançois, Fabien Gandon
The Semantic Web – ISWC 2019 [[electronic resource] ] : 18th International Semantic Web Conference, Auckland, New Zealand, October 26–30, 2019, Proceedings, Part II / / edited by Chiara Ghidini, Olaf Hartig, Maria Maleshkova, Vojtěch Svátek, Isabel Cruz, Aidan Hogan, Jie Song, Maxime Lefrançois, Fabien Gandon
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (xxxviii, 550 pages) : illustrations
Disciplina 025.04
Collana Information Systems and Applications, incl. Internet/Web, and HCI
Soggetto topico Database management
Artificial intelligence
Application software
Mathematical logic
Database Management
Artificial Intelligence
Information Systems Applications (incl. Internet)
Mathematical Logic and Formal Languages
ISBN 3-030-30796-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Resources Track -- The KEEN Universe: An Ecosystem for Knowledge Graph Embeddings with a Focus on Reproducibility and Transferability -- VLog: A Rule Engine for Knowledge Graphs -- ArCo: the Italian Cultural Heritage Knowledge Graph -- Making Study Populations Visible through Knowledge Graphs -- LC-QuAD 2.0: A large dataset for complex question answering over Wikidata and DBpedia -- SEO: A Scientific Events Data Model -- DBpedia FlexiFusion - The Best of Wikipedia > Wikidata > Your Data -- The Microsoft Academic Knowledge Graph: A Linked Data Source with 8 Billion Triples of Scholarly Data -- The RealEstateCore Ontology -- FoodKG: Semantics-Driven Knowledge Graph for Food Recommendation -- BTC-2019: The 2019 Billion Triple Challenge Dataset -- Extending the YAGO2 Knowledge Graph with Precise Geospatial Knowledge -- The SEPSES knowledge graph: An integrated resource for cybersecurity -- SemanGit: A Linked Dataset from git -- Squerall: Virtual Ontology-Based Access to Heterogeneous and Large Data Sources -- List.MID: A MIDI-Based Benchmark for Evaluating RDF Lists -- A Scalable Framework for Quality Assessment of RDF Datasets -- QaldGen: Towards Microbenchmarking of Question Answering Systems Over Knowledge Graphs -- Sparklify: A Scalable Software Component for Efficient evaluation of SPARQL queries over distributed RDF datasets -- ClaimsKG: A Knowledge Graph of Fact-Checked Claims -- CoCoOn: Cloud Computing Ontology for IaaS Price and Performance Comparison -- In-Use Track -- Semantically-enabled Optimization of Digital Marketing Campaigns -- An End-to-end Semantic Platform For Nutritional Diseases Management -- VLX-Stories: building an online Event Knowledge Base with Emerging Entity detection -- Personalized Knowledge Graphs for the Pharmaceutical Domain -- Use of OWL and Semantic Web Technologies at Pinterest -- An Assessment of Adoption and Quality of Linked Data in European Open Government Data -- Easy Web API Development with SPARQL Transformer -- Benefit graph extraction from healthcare policies -- Knowledge Graph Embedding for Ecotoxicological Effect Prediction -- Improving Editorial Workflow and Metadata Quality at Springer Nature -- A Pay-as-you-go Methodology to Design and Build Enterprise Knowledge Graphs from Relational Databases.
Record Nr. UNISA-996466289303316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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The Semantic Web – ISWC 2019 [[electronic resource] ] : 18th International Semantic Web Conference, Auckland, New Zealand, October 26–30, 2019, Proceedings, Part I / / edited by Chiara Ghidini, Olaf Hartig, Maria Maleshkova, Vojtěch Svátek, Isabel Cruz, Aidan Hogan, Jie Song, Maxime Lefrançois, Fabien Gandon
The Semantic Web – ISWC 2019 [[electronic resource] ] : 18th International Semantic Web Conference, Auckland, New Zealand, October 26–30, 2019, Proceedings, Part I / / edited by Chiara Ghidini, Olaf Hartig, Maria Maleshkova, Vojtěch Svátek, Isabel Cruz, Aidan Hogan, Jie Song, Maxime Lefrançois, Fabien Gandon
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (xliv, 754 pages) : illustrations
Disciplina 025.04
Collana Information Systems and Applications, incl. Internet/Web, and HCI
Soggetto topico Database management
Artificial intelligence
Application software
Mathematical logic
Database Management
Artificial Intelligence
Information Systems Applications (incl. Internet)
Mathematical Logic and Formal Languages
ISBN 3-030-30793-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Research Track -- Decentralized Indexing over a Network of RDF Peers -- Datalog Materialisation in Distributed RDF Stores with Dynamic Data Exchange -- How to make latent factors interpretable by feeding Factorization machines with knowledge graphs -- Observing LOD using Equivalent Set Graphs: it is mostly flat and sparsely linked -- Optimizing Horn-SHIQ Reasoning for OBDA -- Using a KG-Copy Network for Non-Goal Oriented Dialogues -- Canonicalizing Knowledge Base Literals -- Bag Semantics of DL-Lite with Functionality Axioms -- Validating SHACL constraints over a SPARQL endpoint -- Mapping Factoid Adjective Constraints to Existential Restrictions over Knowledge Bases -- Mining Significant Maximum Cardinalities in Knowledge Bases -- HapPenIng: Happen, Predict, Infer - Event Series Completion in a Knowledge Graph -- Uncovering the Semantics of Wikipedia Categories -- Qsearch: Answering Quantity Queries from Text -- A Worst-Case Optimal Join Algorithm for SPARQL -- Knowledge Graph Consolidation by Unifying Synonymous Relationships -- Skyline Queries over Knowledge Graphs -- Detecting Influences of Ontology Design Patterns in Biomedical Ontologies -- Popularity-driven Ontology Ranking using Qualitative Features -- Incorporating Literals into Knowledge Graph Embeddings -- Extracting Novel Facts from Tables for Knowledge Graph Completion -- Difficulty-controllable Multi-hop Question Generation From Knowledge Graphs -- Type Checking Program Code using SHACL -- Decentralized Reasoning on a Network of Aligned Ontologies with Link Keys -- Ontology Completion Using Graph Convolutional Networks -- Non-Parametric Class Completeness Estimators for Collaborative Knowledge Graphs - The Case of Wikidata -- Pretrained Transformers for Simple Question Answering over Knowledge Graphs -- Learning to Rank Query Graphs for Complex Question Answering over Knowledge Graphs -- THOTH: Neural Translation and Enrichment of Knowledge Graphs -- Entity Enabled Relation Linking -- SHACL Constraints with Inference Rules -- Query-Based Entity Comparison in Knowledge Graphs Revisited -- Anytime Large-Scale Analytics of Linked Open Data -- Absorption-Based Query Answering for Expressive Description Logics -- TransEdge: Translating Relation-contextualized Embeddings for Knowledge Graphs -- Unsupervised Discovery of Corroborative Paths for Fact Validation -- RDF Explorer: A Visual SPARQL Query Builder -- Capturing Semantic and Syntactic Information for Link Prediction in Knowledge Graphs -- A Framework for Evaluating Snippet Generation for Dataset Search -- Summarizing News Articles using Question-and-Answer Pairs via Learning -- Product Classification Using Microdata Annotations -- Truthful Mechanisms for Multi Agent Self-Interested Correspondence Selection.
Record Nr. UNISA-996466287603316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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