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Linked data for libraries, archives and museums : how to clean, link and publish your metadata / / Seth van Hooland, Ruben Verborgh
Linked data for libraries, archives and museums : how to clean, link and publish your metadata / / Seth van Hooland, Ruben Verborgh
Autore Hooland Seth van
Pubbl/distr/stampa London, [England] : , : Facet Publishing, , 2014
Descrizione fisica 1 online resource (272 p.)
Disciplina 025.3
Soggetto topico Linked data
Libraries and museums - Electronic information resources
Archives - Electronic information resources
Soggetto genere / forma Electronic books.
ISBN 1-78330-038-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Title page; Contents; The authors; A word of thanks; foreword; Glossary; 1 Introduction; 1 Metadata at the crossroads; 2 Definition and scope of key concepts; 3 Position and originality of the handbook; 4 Structure and learning objectives; 5 Get in touch!; Note; References; 2 Modelling; 1 Introduction; 2 Tabular data; 3 Relational model; 4 Meta-markup languages; 5 Linked data; 6 Conclusion; 7 CASE STUDY: linked data at your fingertips; Notes; References; 3 Cleaning; 1 Introduction; 2 A new field of data quality; 3 Data profiling; 4 Conclusion; 5 CASE STUDY: Schoenberg Database of Manuscripts
NotesBibliography; 4 Reconciling; 1 Introduction; 2 Controlled vocabularies; 3 Semantics and machines; 4 Bringing controlled vocabularies to the web; 5 Enabling interconnections; 6 Conclusion; 7 CASE STUDY: Powerhouse Museum; Notes; References; 5 Enriching; 1 Introduction; 2 The potential of crowdsourcing; 3 Embracing scale; 4 Gold mining for semantics; 5 Managing ambiguous URLs; 6 Conclusion; 7 CASE STUDY: the British Library; Notes; References; 6 Publishing; 1 Introduction; 2 Identifying content with URLs; 3 Marking up content; 4 A web for humans and machines; 5 Conclusion
6 CASE STUDY: Cooper-Hewitt National Design MuseumNotes; References; 7 Conclusions; 1 Statistics, probability and the humanities; 2 Market forces; 3 Use of URLs; 4 Engage; Note; References; Index
Record Nr. UNINA-9910511735803321
Hooland Seth van  
London, [England] : , : Facet Publishing, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Linked data for libraries, archives and museums : how to clean, link and publish your metadata / / Seth van Hooland, Ruben Verborgh [[electronic resource]]
Linked data for libraries, archives and museums : how to clean, link and publish your metadata / / Seth van Hooland, Ruben Verborgh [[electronic resource]]
Autore Hooland Seth van
Pubbl/distr/stampa London : , : Facet Publishing, , 2014
Descrizione fisica 1 online resource (xvii, 254 pages) : digital, PDF file(s)
Disciplina 025.0427
Soggetto topico Linked data
Libraries and museums - Electronic information resources
Archives - Electronic information resources
ISBN 1-78330-038-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Title page; Contents; The authors; A word of thanks; foreword; Glossary; 1 Introduction; 1 Metadata at the crossroads; 2 Definition and scope of key concepts; 3 Position and originality of the handbook; 4 Structure and learning objectives; 5 Get in touch!; Note; References; 2 Modelling; 1 Introduction; 2 Tabular data; 3 Relational model; 4 Meta-markup languages; 5 Linked data; 6 Conclusion; 7 CASE STUDY: linked data at your fingertips; Notes; References; 3 Cleaning; 1 Introduction; 2 A new field of data quality; 3 Data profiling; 4 Conclusion; 5 CASE STUDY: Schoenberg Database of Manuscripts
NotesBibliography; 4 Reconciling; 1 Introduction; 2 Controlled vocabularies; 3 Semantics and machines; 4 Bringing controlled vocabularies to the web; 5 Enabling interconnections; 6 Conclusion; 7 CASE STUDY: Powerhouse Museum; Notes; References; 5 Enriching; 1 Introduction; 2 The potential of crowdsourcing; 3 Embracing scale; 4 Gold mining for semantics; 5 Managing ambiguous URLs; 6 Conclusion; 7 CASE STUDY: the British Library; Notes; References; 6 Publishing; 1 Introduction; 2 Identifying content with URLs; 3 Marking up content; 4 A web for humans and machines; 5 Conclusion
6 CASE STUDY: Cooper-Hewitt National Design MuseumNotes; References; 7 Conclusions; 1 Statistics, probability and the humanities; 2 Market forces; 3 Use of URLs; 4 Engage; Note; References; Index
Record Nr. UNINA-9910788013603321
Hooland Seth van  
London : , : Facet Publishing, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Linked data for libraries, archives and museums : how to clean, link and publish your metadata / / Seth van Hooland, Ruben Verborgh [[electronic resource]]
Linked data for libraries, archives and museums : how to clean, link and publish your metadata / / Seth van Hooland, Ruben Verborgh [[electronic resource]]
Autore Hooland Seth van
Pubbl/distr/stampa London : , : Facet Publishing, , 2014
Descrizione fisica 1 online resource (xvii, 254 pages) : digital, PDF file(s)
Disciplina 025.0427
Soggetto topico Linked data
Libraries and museums - Electronic information resources
Archives - Electronic information resources
ISBN 1-78330-038-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Title page; Contents; The authors; A word of thanks; foreword; Glossary; 1 Introduction; 1 Metadata at the crossroads; 2 Definition and scope of key concepts; 3 Position and originality of the handbook; 4 Structure and learning objectives; 5 Get in touch!; Note; References; 2 Modelling; 1 Introduction; 2 Tabular data; 3 Relational model; 4 Meta-markup languages; 5 Linked data; 6 Conclusion; 7 CASE STUDY: linked data at your fingertips; Notes; References; 3 Cleaning; 1 Introduction; 2 A new field of data quality; 3 Data profiling; 4 Conclusion; 5 CASE STUDY: Schoenberg Database of Manuscripts
NotesBibliography; 4 Reconciling; 1 Introduction; 2 Controlled vocabularies; 3 Semantics and machines; 4 Bringing controlled vocabularies to the web; 5 Enabling interconnections; 6 Conclusion; 7 CASE STUDY: Powerhouse Museum; Notes; References; 5 Enriching; 1 Introduction; 2 The potential of crowdsourcing; 3 Embracing scale; 4 Gold mining for semantics; 5 Managing ambiguous URLs; 6 Conclusion; 7 CASE STUDY: the British Library; Notes; References; 6 Publishing; 1 Introduction; 2 Identifying content with URLs; 3 Marking up content; 4 A web for humans and machines; 5 Conclusion
6 CASE STUDY: Cooper-Hewitt National Design MuseumNotes; References; 7 Conclusions; 1 Statistics, probability and the humanities; 2 Market forces; 3 Use of URLs; 4 Engage; Note; References; Index
Record Nr. UNINA-9910817749103321
Hooland Seth van  
London : , : Facet Publishing, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
The semantic web : 18th International Conference, ESWC 2021, Virtual event, June 6-10, 2021, proceedings / / Ruben Verborgh [and seven others] editors
The semantic web : 18th International Conference, ESWC 2021, Virtual event, June 6-10, 2021, proceedings / / Ruben Verborgh [and seven others] editors
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (743 pages)
Disciplina 025.04
Collana Lecture Notes in Computer Science
Soggetto topico Semantic Web
ISBN 3-030-77385-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents -- Ontologies and Reasoning -- Streaming Partitioning of RDF Graphs for Datalog Reasoning -- 1 Introduction -- 2 Preliminaries -- 3 Related Work -- 4 Motivation and Our Contribution -- 5 The HDRF3 Algorithm -- 5.1 High Degree Replicated First Streaming Partitioning -- 5.2 Adapting the Algorithm to RDF Graphs -- 6 The 2PS3 Algorithm -- 6.1 Two-Phase Streaming -- 6.2 The Algorithm -- 7 Evaluation -- 7.1 Datasets -- 7.2 Test Protocol -- 7.3 Test Results and Discussion -- 8 Conclusion and Future Work -- A Proofs for Sect.5 -- B Proofs for Sect.6 -- References -- Parallelised ABox Reasoning and Query Answering with Expressive Description Logics -- 1 Introduction -- 2 Description Logics and Reasoning Preliminaries -- 3 Caching Individual Derivations -- 4 Query Answering Support -- 5 Implementation and Experiments -- 6 Conclusions -- References -- Analysing Large Inconsistent Knowledge Graphs Using Anti-patterns -- 1 Introduction -- 2 Related Work -- 3 Background -- 4 Defining and Detecting Anti-patterns -- 4.1 Anti-patterns -- 4.2 Approach -- 5 Experiments -- 5.1 Completeness Evaluation -- 5.2 Scalability Evaluation -- 6 KG Inconsistency Analysis -- 6.1 What is the Most Common Size of Anti-patterns? -- 6.2 What are the Most Common Types of Anti-patterns Found in These KGs? -- 6.3 What is the Benefit in Practice of Generalising Justifications into Anti-patterns? -- 7 Conclusion -- References -- Processing SPARQL Property Path Queries Online with Web Preemption -- 1 Introduction -- 2 Related Works -- 3 Web Preemption and Property Paths -- 4 The Partial Transitive Closure Approach -- 4.1 The PTC Operator -- 4.2 pPTC: A Preemptable PTC Iterator -- 4.3 The PTC-Client -- 5 Experimental Study -- 5.1 Experimental Setup -- 5.2 Experimental Results -- 6 Conclusion -- References.
Ontology-Based Map Data Quality Assurance -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 3.1 Map Data -- 3.2 RDF Graphs -- 3.3 Rules -- 4 Ensuring Map Data Quality -- 4.1 Semantic Enrichment -- 4.2 Violation Detection -- 4.3 Violation Handling -- 5 Evaluation -- 5.1 Violation Detection -- 5.2 Violation Handling -- 6 Conclusion and Future Work -- References -- Knowledge Graphs (Understanding, Creating, and Exploiting) -- Applying Grammar-Based Compression to RDF -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 4 Approaches -- 4.1 Indexing -- 4.2 gRePair Algorithm -- 4.3 k2 Trees -- 4.4 Serialization -- 4.5 Decompression -- 5 Evaluation -- 5.1 Experimental Setup -- 5.2 Datasets -- 5.3 Compression Algorithms -- 5.4 Results -- 6 Conclusion -- References -- HDT Bitmap Triple Indices for Efficient RDF Data Exploration -- 1 Introduction -- 2 Preliminaries -- 2.1 Faceted Navigation -- 2.2 RDF Compression -- 3 Faceted Navigation Indices Based on HDT BT -- 4 Implementation and Evaluation -- 4.1 Data Sets and Index Generation -- 4.2 Performance Benchmark Setup -- 4.3 Experimental Results -- 5 Conclusion -- References -- Programming and Debugging with Semantically Lifted States -- 1 Introduction -- 2 Motivating Example -- 3 Core Language SMOL -- 3.1 Programming Model -- 3.2 Semantic State Access -- 4 Internal Semantic State Access -- 5 Computational Semantic State Access -- 6 Implementation -- 7 Related Work -- 8 Conclusion -- References -- Do Embeddings Actually Capture Knowledge Graph Semantics? -- 1 Introduction -- 2 Related Work -- 3 Analysis of the Semantics of Embeddings -- 3.1 Categorization of Entities -- 3.2 Datasets -- 3.3 Knowledge Graph Embeddings -- 4 Experiments -- 4.1 Non-Embedding Baseline -- 4.2 Evaluation Metrics -- 4.3 Classification Results -- 4.4 Clustering Results -- 5 Discussion -- 6 Conclusion -- References.
A Semantic Framework to Support AI System Accountability and Audit -- 1 Introduction -- 2 Related Work -- 3 Ontology Development Methodology -- 4 Knowledge Capture Requirements -- 5 Modelling System Accountability -- 5.1 The SAO Ontology -- 5.2 The RAInS Ontology -- 5.3 Design Rationale and Alignment to Other Ontologies -- 6 Evaluation -- 7 Conclusions and Future Work -- References -- Semantic Data Management, Querying and Distributed Data -- Comparison Table Generation from Knowledge Bases -- 1 Introduction -- 2 Related Work -- 3 Problem Statement -- 4 Contextual Reference Level of a Feature -- 4.1 Definition -- 4.2 Quality Criteria Analysis -- 5 Versus: A Method for Extracting Interesting Features -- 5.1 Overview -- 5.2 Context Selection -- 5.3 Efficient Evaluation of the Contextual Reference Level -- 6 Experiments -- 6.1 Comparison Feature Benchmark (CFB) -- 6.2 Q1: Quality of the Extracted Features -- 6.3 Q2: Efficiency of the Method -- 7 Conclusion -- References -- Incremental Schema Discovery at Scale for RDF Data -- 1 Introduction -- 2 Problem Statement -- 3 General Approach -- 4 Data Distribution Principle for Neighborhood Computation -- 4.1 Distributing New Entities over Chunks -- 4.2 Assigning Initial Entities to Chunks -- 5 Computing the Neighborhood of the New Entities -- 6 Generating the New Schema -- 6.1 Updating Clusters in Each Chunk -- 6.2 Generating the Final Clusters -- 7 Experimental Evaluations -- 8 Related Work -- 9 Conclusion -- References -- HTTP Extensions for the Management of Highly Dynamic Data Resources -- 1 Introduction -- 2 Related Work -- 3 Optimizing the Memento Protocol -- 3.1 Changing the Datetime Format -- 3.2 Considering Resource Creation -- 3.3 Range Requests for TimeMaps -- 3.4 Ensuring Compatibility with Legacy Systems -- 4 Evaluation -- 4.1 Experiment 1 - Inserting Resource Revisions.
4.2 Experiment 2 - Accessing TimeMaps -- 5 Conclusion -- References -- Expressibility of OWL Axioms with Patterns -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Simple Axioms -- 3.2 OWLAx Axiom Patterns -- 3.3 Axiom Pattern Expressibility -- 3.4 Normalization -- 4 Evaluation -- 4.1 Overall Expressibility -- 4.2 Source Expressibility -- 4.3 Profile Expressibility -- 5 Discussion -- 5.1 Future Work -- 6 Conclusion -- References -- Data Dynamics, Quality, and Trust -- Refining Transitive and Pseudo-Transitive Relations at Web Scale -- 1 Introduction -- 2 Related Work -- 2.1 Knowledge Graph Refinement Methods -- 2.2 General MWFAS Algorithms -- 3 Preliminaries -- 4 Pseudo-Transitive Relations in the LOD Cloud -- 4.1 Dataset -- 4.2 Strongly Connected Components Analysis -- 5 Algorithms -- 5.1 Algorithms for Cycle Resolving -- 5.2 Weights -- 6 Experiments and Evaluation -- 6.1 Implementation and Parameter Settings -- 6.2 Gold Standard -- 6.3 Efficiency Evaluation -- 6.4 Accuracy Evaluation -- 7 Discussion and Future Work -- 7.1 Summary -- 7.2 Discussion -- 7.3 Limitations and Future Work -- References -- Data Reliability and Trustworthiness Through Digital Transmission Contracts -- 1 Introduction -- 2 Design Goals -- 3 Background and Related Work -- 4 ReShare: Reliable Data Sharing Through DTCs -- 4.1 Generation Mechanism -- 4.2 Verification Mechanism -- 4.3 Realization -- 5 Evaluation -- 5.1 Quantitative Evaluation -- 5.2 Qualitative Evaluation -- 6 Conclusion -- References -- Matching, Integration, and Fusion -- Neural Knowledge Base Repairs -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 4 Baseline Approach -- 5 Approach -- 5.1 Bass-RL -- 5.2 Bass -- 6 Experiments -- 6.1 Dataset -- 6.2 Systems -- 6.3 Results -- 6.4 Ablation Study -- 7 Conclusion -- References.
Natural Language Inference over Tables: Enabling Explainable Data Exploration on Data Lakes -- 1 Introduction -- 2 Related Work -- 3 Relational Natural Language Inference (RNLI) -- 3.1 Semantic Evidence Types -- 3.2 Intensional Entailment Computation -- 3.3 Extensional Entailment Computation -- 3.4 Entailment Composition -- 3.5 Transformer-Based RNLI -- 3.6 Intensional Attribute Representations -- 3.7 Supervised NLI Labelling -- 4 Evaluation -- 4.1 Inference Performance -- 4.2 Comparative Analysis -- 4.3 Inference Explanations -- 4.4 Ablation Study -- 5 Conclusions -- References -- NLP and Information Retrieval -- Grounding Dialogue Systems via Knowledge Graph Aware Decoding with Pre-trained Transformers -- 1 Introduction -- 2 Model Description -- 2.1 Query Encoding -- 2.2 Entity Detection -- 2.3 Input Query Encoder -- 2.4 Intermediate Representation -- 2.5 Decoding Process -- 2.6 Sub-Graph Encoding -- 3 Experimental Setup -- 3.1 Datasets -- 3.2 Evaluation Metrics -- 3.3 Model Settings -- 4 Results -- 5 Discussion -- 5.1 Human Evaluation -- 5.2 Ablation Study -- 5.3 Qualitative Analysis -- 5.4 Error Analysis -- 6 Related Work -- 7 Conclusion and Future Work -- References -- WEB-SOBA: Word Embeddings-Based Semi-automatic Ontology Building for Aspect-Based Sentiment Classification -- 1 Introduction -- 2 Related Works -- 2.1 Hybrid Methods -- 2.2 Ontology Building -- 2.3 Word Embeddings -- 3 Data -- 4 Methodology -- 4.1 Word Embeddings -- 4.2 Ontology Framework -- 4.3 Term Selection -- 4.4 Sentiment Term Clustering -- 4.5 Aspect Term Hierarchical Clustering -- 5 Evaluation -- 5.1 Evaluation Procedure -- 5.2 Ontology Building Results -- 5.3 Evaluation Results -- 6 Conclusion -- References -- Context Transformer with Stacked Pointer Networks for Conversational Question Answering over Knowledge Graphs -- 1 Introduction -- 2 Related Work -- 3 Carton.
3.1 Grammar.
Record Nr. UNINA-9910484156403321
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
The semantic web : 18th International Conference, ESWC 2021, Virtual event, June 6-10, 2021, proceedings / / Ruben Verborgh [and seven others] editors
The semantic web : 18th International Conference, ESWC 2021, Virtual event, June 6-10, 2021, proceedings / / Ruben Verborgh [and seven others] editors
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (743 pages)
Disciplina 025.04
Collana Lecture Notes in Computer Science
Soggetto topico Semantic Web
ISBN 3-030-77385-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents -- Ontologies and Reasoning -- Streaming Partitioning of RDF Graphs for Datalog Reasoning -- 1 Introduction -- 2 Preliminaries -- 3 Related Work -- 4 Motivation and Our Contribution -- 5 The HDRF3 Algorithm -- 5.1 High Degree Replicated First Streaming Partitioning -- 5.2 Adapting the Algorithm to RDF Graphs -- 6 The 2PS3 Algorithm -- 6.1 Two-Phase Streaming -- 6.2 The Algorithm -- 7 Evaluation -- 7.1 Datasets -- 7.2 Test Protocol -- 7.3 Test Results and Discussion -- 8 Conclusion and Future Work -- A Proofs for Sect.5 -- B Proofs for Sect.6 -- References -- Parallelised ABox Reasoning and Query Answering with Expressive Description Logics -- 1 Introduction -- 2 Description Logics and Reasoning Preliminaries -- 3 Caching Individual Derivations -- 4 Query Answering Support -- 5 Implementation and Experiments -- 6 Conclusions -- References -- Analysing Large Inconsistent Knowledge Graphs Using Anti-patterns -- 1 Introduction -- 2 Related Work -- 3 Background -- 4 Defining and Detecting Anti-patterns -- 4.1 Anti-patterns -- 4.2 Approach -- 5 Experiments -- 5.1 Completeness Evaluation -- 5.2 Scalability Evaluation -- 6 KG Inconsistency Analysis -- 6.1 What is the Most Common Size of Anti-patterns? -- 6.2 What are the Most Common Types of Anti-patterns Found in These KGs? -- 6.3 What is the Benefit in Practice of Generalising Justifications into Anti-patterns? -- 7 Conclusion -- References -- Processing SPARQL Property Path Queries Online with Web Preemption -- 1 Introduction -- 2 Related Works -- 3 Web Preemption and Property Paths -- 4 The Partial Transitive Closure Approach -- 4.1 The PTC Operator -- 4.2 pPTC: A Preemptable PTC Iterator -- 4.3 The PTC-Client -- 5 Experimental Study -- 5.1 Experimental Setup -- 5.2 Experimental Results -- 6 Conclusion -- References.
Ontology-Based Map Data Quality Assurance -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 3.1 Map Data -- 3.2 RDF Graphs -- 3.3 Rules -- 4 Ensuring Map Data Quality -- 4.1 Semantic Enrichment -- 4.2 Violation Detection -- 4.3 Violation Handling -- 5 Evaluation -- 5.1 Violation Detection -- 5.2 Violation Handling -- 6 Conclusion and Future Work -- References -- Knowledge Graphs (Understanding, Creating, and Exploiting) -- Applying Grammar-Based Compression to RDF -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 4 Approaches -- 4.1 Indexing -- 4.2 gRePair Algorithm -- 4.3 k2 Trees -- 4.4 Serialization -- 4.5 Decompression -- 5 Evaluation -- 5.1 Experimental Setup -- 5.2 Datasets -- 5.3 Compression Algorithms -- 5.4 Results -- 6 Conclusion -- References -- HDT Bitmap Triple Indices for Efficient RDF Data Exploration -- 1 Introduction -- 2 Preliminaries -- 2.1 Faceted Navigation -- 2.2 RDF Compression -- 3 Faceted Navigation Indices Based on HDT BT -- 4 Implementation and Evaluation -- 4.1 Data Sets and Index Generation -- 4.2 Performance Benchmark Setup -- 4.3 Experimental Results -- 5 Conclusion -- References -- Programming and Debugging with Semantically Lifted States -- 1 Introduction -- 2 Motivating Example -- 3 Core Language SMOL -- 3.1 Programming Model -- 3.2 Semantic State Access -- 4 Internal Semantic State Access -- 5 Computational Semantic State Access -- 6 Implementation -- 7 Related Work -- 8 Conclusion -- References -- Do Embeddings Actually Capture Knowledge Graph Semantics? -- 1 Introduction -- 2 Related Work -- 3 Analysis of the Semantics of Embeddings -- 3.1 Categorization of Entities -- 3.2 Datasets -- 3.3 Knowledge Graph Embeddings -- 4 Experiments -- 4.1 Non-Embedding Baseline -- 4.2 Evaluation Metrics -- 4.3 Classification Results -- 4.4 Clustering Results -- 5 Discussion -- 6 Conclusion -- References.
A Semantic Framework to Support AI System Accountability and Audit -- 1 Introduction -- 2 Related Work -- 3 Ontology Development Methodology -- 4 Knowledge Capture Requirements -- 5 Modelling System Accountability -- 5.1 The SAO Ontology -- 5.2 The RAInS Ontology -- 5.3 Design Rationale and Alignment to Other Ontologies -- 6 Evaluation -- 7 Conclusions and Future Work -- References -- Semantic Data Management, Querying and Distributed Data -- Comparison Table Generation from Knowledge Bases -- 1 Introduction -- 2 Related Work -- 3 Problem Statement -- 4 Contextual Reference Level of a Feature -- 4.1 Definition -- 4.2 Quality Criteria Analysis -- 5 Versus: A Method for Extracting Interesting Features -- 5.1 Overview -- 5.2 Context Selection -- 5.3 Efficient Evaluation of the Contextual Reference Level -- 6 Experiments -- 6.1 Comparison Feature Benchmark (CFB) -- 6.2 Q1: Quality of the Extracted Features -- 6.3 Q2: Efficiency of the Method -- 7 Conclusion -- References -- Incremental Schema Discovery at Scale for RDF Data -- 1 Introduction -- 2 Problem Statement -- 3 General Approach -- 4 Data Distribution Principle for Neighborhood Computation -- 4.1 Distributing New Entities over Chunks -- 4.2 Assigning Initial Entities to Chunks -- 5 Computing the Neighborhood of the New Entities -- 6 Generating the New Schema -- 6.1 Updating Clusters in Each Chunk -- 6.2 Generating the Final Clusters -- 7 Experimental Evaluations -- 8 Related Work -- 9 Conclusion -- References -- HTTP Extensions for the Management of Highly Dynamic Data Resources -- 1 Introduction -- 2 Related Work -- 3 Optimizing the Memento Protocol -- 3.1 Changing the Datetime Format -- 3.2 Considering Resource Creation -- 3.3 Range Requests for TimeMaps -- 3.4 Ensuring Compatibility with Legacy Systems -- 4 Evaluation -- 4.1 Experiment 1 - Inserting Resource Revisions.
4.2 Experiment 2 - Accessing TimeMaps -- 5 Conclusion -- References -- Expressibility of OWL Axioms with Patterns -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Simple Axioms -- 3.2 OWLAx Axiom Patterns -- 3.3 Axiom Pattern Expressibility -- 3.4 Normalization -- 4 Evaluation -- 4.1 Overall Expressibility -- 4.2 Source Expressibility -- 4.3 Profile Expressibility -- 5 Discussion -- 5.1 Future Work -- 6 Conclusion -- References -- Data Dynamics, Quality, and Trust -- Refining Transitive and Pseudo-Transitive Relations at Web Scale -- 1 Introduction -- 2 Related Work -- 2.1 Knowledge Graph Refinement Methods -- 2.2 General MWFAS Algorithms -- 3 Preliminaries -- 4 Pseudo-Transitive Relations in the LOD Cloud -- 4.1 Dataset -- 4.2 Strongly Connected Components Analysis -- 5 Algorithms -- 5.1 Algorithms for Cycle Resolving -- 5.2 Weights -- 6 Experiments and Evaluation -- 6.1 Implementation and Parameter Settings -- 6.2 Gold Standard -- 6.3 Efficiency Evaluation -- 6.4 Accuracy Evaluation -- 7 Discussion and Future Work -- 7.1 Summary -- 7.2 Discussion -- 7.3 Limitations and Future Work -- References -- Data Reliability and Trustworthiness Through Digital Transmission Contracts -- 1 Introduction -- 2 Design Goals -- 3 Background and Related Work -- 4 ReShare: Reliable Data Sharing Through DTCs -- 4.1 Generation Mechanism -- 4.2 Verification Mechanism -- 4.3 Realization -- 5 Evaluation -- 5.1 Quantitative Evaluation -- 5.2 Qualitative Evaluation -- 6 Conclusion -- References -- Matching, Integration, and Fusion -- Neural Knowledge Base Repairs -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 4 Baseline Approach -- 5 Approach -- 5.1 Bass-RL -- 5.2 Bass -- 6 Experiments -- 6.1 Dataset -- 6.2 Systems -- 6.3 Results -- 6.4 Ablation Study -- 7 Conclusion -- References.
Natural Language Inference over Tables: Enabling Explainable Data Exploration on Data Lakes -- 1 Introduction -- 2 Related Work -- 3 Relational Natural Language Inference (RNLI) -- 3.1 Semantic Evidence Types -- 3.2 Intensional Entailment Computation -- 3.3 Extensional Entailment Computation -- 3.4 Entailment Composition -- 3.5 Transformer-Based RNLI -- 3.6 Intensional Attribute Representations -- 3.7 Supervised NLI Labelling -- 4 Evaluation -- 4.1 Inference Performance -- 4.2 Comparative Analysis -- 4.3 Inference Explanations -- 4.4 Ablation Study -- 5 Conclusions -- References -- NLP and Information Retrieval -- Grounding Dialogue Systems via Knowledge Graph Aware Decoding with Pre-trained Transformers -- 1 Introduction -- 2 Model Description -- 2.1 Query Encoding -- 2.2 Entity Detection -- 2.3 Input Query Encoder -- 2.4 Intermediate Representation -- 2.5 Decoding Process -- 2.6 Sub-Graph Encoding -- 3 Experimental Setup -- 3.1 Datasets -- 3.2 Evaluation Metrics -- 3.3 Model Settings -- 4 Results -- 5 Discussion -- 5.1 Human Evaluation -- 5.2 Ablation Study -- 5.3 Qualitative Analysis -- 5.4 Error Analysis -- 6 Related Work -- 7 Conclusion and Future Work -- References -- WEB-SOBA: Word Embeddings-Based Semi-automatic Ontology Building for Aspect-Based Sentiment Classification -- 1 Introduction -- 2 Related Works -- 2.1 Hybrid Methods -- 2.2 Ontology Building -- 2.3 Word Embeddings -- 3 Data -- 4 Methodology -- 4.1 Word Embeddings -- 4.2 Ontology Framework -- 4.3 Term Selection -- 4.4 Sentiment Term Clustering -- 4.5 Aspect Term Hierarchical Clustering -- 5 Evaluation -- 5.1 Evaluation Procedure -- 5.2 Ontology Building Results -- 5.3 Evaluation Results -- 6 Conclusion -- References -- Context Transformer with Stacked Pointer Networks for Conversational Question Answering over Knowledge Graphs -- 1 Introduction -- 2 Related Work -- 3 Carton.
3.1 Grammar.
Record Nr. UNISA-996464528303316
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
The semantic web : ESWC 2021 satellite events, virtual event, June 6-10, 2021, revised selected papers / / edited by Ruben Verborgh [and eight others]
The semantic web : ESWC 2021 satellite events, virtual event, June 6-10, 2021, revised selected papers / / edited by Ruben Verborgh [and eight others]
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (275 pages)
Disciplina 025.0427
Collana Lecture Notes in Computer Science
Soggetto topico Algorithms
Computer architecture
Information retrieval
Information organization
ISBN 3-030-80418-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents -- Poster and Demo Track Papers -- BiodivOnto: Towards a Core Ontology for Biodiversity -- 1 Introduction -- 2 Methodology -- References -- scikit-learn Pipelines Meet Knowledge Graphs *6pt -- 1 Introduction -- 2 Package Functionalities -- 2.1 Linking and Link Exploration -- 2.2 Feature Generation -- 2.3 Feature Filtering -- 2.4 Matching and Fusion -- 2.5 Other Functionalities -- 3 Demonstration Contents -- 4 Future Developments -- References -- SLURP: An Interactive SPARQL Query Planner -- 1 Introduction -- 2 System Architecture -- 3 Demonstration -- 4 Conclusion -- References -- Towards Easy Vocabulary Drafts with Neologism 2.0 -- 1 Introduction -- 2 Related Work -- 3 Embedding Neologism 2.0 in Common Workflows -- 4 Vocabulary Drafting with Neologism 2.0 -- 5 Future Work -- References -- Dataset Generation Patterns for Evaluating Knowledge Graph Construction -- 1 Introduction and Motivation -- 2 A Pattern Language and Generator for Spreadsheets -- 3 Related Work -- 4 Conclusion and Outlook -- References -- National Library of Latvia Subject Headings as Linked Open Data -- 1 Introduction -- 2 NLLSH Linked Data -- 2.1 Enriching MARC 21 Data -- 2.2 Converting MARC 21 Data to SKOS -- 2.3 Publishing SKOS Datasets -- 3 Conclusion -- References -- Automatic Skill Generation for Knowledge Graph Question Answering -- 1 Introduction and Motivation -- 2 Related Work -- 3 Virtual Assistant Extensions Generator -- 4 Virtual Assistant Extension Usage -- 5 Demonstration -- References -- Converting UML-Based Ontology Conceptualizations to OWL with Chowlk -- 1 Introduction -- 2 Chowlk Features -- 3 Architecture -- 4 Demonstration -- 5 Conclusions and Future Work -- References -- Monetising Resources on a SoLiD Pod Using Blockchain Transactions -- 1 Introduction -- 2 Related Work -- 3 System Architecture.
4 Data Modeling -- 5 Walkthrough for the Demonstrator -- 6 Conclusion -- References -- Towards Scientific Data Synthesis Using Deep Learning and Semantic Web -- 1 Introduction -- 2 Proposed Approach -- References -- RaiseWikibase: Fast Inserts into the BERD Instance -- 1 Introduction -- 2 Raising Wikibase -- 3 Raising BERD -- 4 Conclusions -- References -- Do Judge an Entity by Its Name! Entity Typing Using Language Models -- 1 Introduction -- 2 Related Work -- 3 Model -- 4 Evaluation -- 5 Conclusion and Future Work -- References -- Towards a Domain-Agnostic Computable Policy Tool -- 1 Introduction -- 2 ADAPT Architecture -- 3 Demonstration: Healthcare Guidelines -- 4 ADAPT and Other Computable Policy Tools -- 5 Conclusion -- References -- Towards an Evaluation Framework for Expressive Stream Reasoning -- 1 Introduction -- 2 Framework Setup -- 3 Expressive Stream Reasoning Challenges -- 4 Streaming Scenarios -- 5 Related Work -- 6 Conclusion -- References -- Schema-Backed Visual Queries over Europeana and Other Linked Data Resources -- 1 Introduction -- 2 Data Schema Extraction -- 3 Visual Query Environment -- 4 Discussion and Conclusions -- References -- CLiT: Combining Linking Techniques for Everyone -- 1 Introduction -- 2 System Design -- 3 Conclusion and Future Work -- References -- SANTé: A Light-Weight End-to-End Semantic Search Framework for RDF Data -- 1 Introduction -- 2 Demonstration -- 2.1 Indexing and Instantiating -- 2.2 Access Interfaces -- 2.3 Showcases -- 3 Conclusion -- References -- Coverage-Based Summaries for RDF KBs -- 1 Introduction -- 2 Schema Summarization -- 3 Evaluation and Conclusions -- References -- Named Entity Recognition as Graph Classification -- 1 Introduction -- 2 Approach -- 3 Experiments and Results -- 3.1 Experimental Protocol -- 3.2 Methods -- 3.3 Results -- 4 Conclusion and Future Work -- References.
Exploiting Transitivity for Entity Matching -- 1 Introduction -- 2 Applying Cluster Editing on Matched Entities -- 3 Results -- 4 Conclusion and Future Work -- References -- The Nuremberg Address Knowledge Graph -- 1 Introduction -- 2 Nuremberg Address Knowledge Graph -- 3 Discussion -- 4 Conclusion -- References -- SaGe-Path: Pay-as-you-go SPARQL Property Path Queries Processing Using Web Preemption -- 1 Introduction -- 2 Overview of SaGe-Path -- 3 Demonstration Scenario -- 4 Conclusion -- References -- Ontology for Informatics Research Artifacts -- 1 Introduction -- 2 Ontology Design and Competency Questions -- 3 Ontology Construction and Evaluation -- 4 Conclusion -- References -- Non-named Entities - The Silent Majority -- 1 Introduction -- 2 Non-Named Entities -- 3 Adding Non-named Entities to RDFS KBs -- 4 Bridging the Gap -- 5 Conclusion -- References -- Unsupervised Relation Extraction Using Sentence Encoding -- 1 Introduction -- 2 Our Approach -- 3 Evaluation -- 4 Conclusion and Future Work -- References -- evoKGsim+: A Framework for Tailoring Knowledge Graph-Based Similarity for Supervised Learning -- 1 Introduction -- 2 Methodology -- 3 Evaluation -- 4 Conclusion -- References -- Extraction of Union and Intersection Axioms from Biomedical Text -- 1 Introduction -- 2 Approach -- 3 Results and Discussion -- References -- PhD Symposium Track Papers -- Implementing Informed Consent with Knowledge Graphs -- 1 Introduction -- 2 State of the Art -- 3 Problem Statement and Contributions -- 4 Methodology -- 5 Preliminary Results -- 5.1 System Architecture -- 5.2 Semantic Model for Informed Consent -- 5.3 Semantic Model Visualisation -- 6 Evaluation Plan -- 7 Conclusions and Lessons Learned -- References -- Improving Decision Making Using Semantic Web Technologies -- 1 Motivation -- 2 State-of-the-Art -- 2.1 Semantic Models in Decision Making.
2.2 Use Case Specific Studies -- 3 Problem Statement and Contributions -- 3.1 Problem Statement and Research Question -- 3.2 Contributions -- 4 Research Methodology and Approach -- 5 Evaluation Plan -- References -- Ontological Formalisation of Mathematical Equations for Phenomic Data Exploitation -- 1 Introduction -- 2 State of the Art -- 2.1 Ontology-Based Information Representation -- 2.2 Ontological Reasoning -- 2.3 SPARQL Extensions -- 2.4 Ontology-Based Delegated Computing -- 3 Problem Statement and Contributions -- 4 Research Methodology and Approach -- 4.1 Case Studies -- 5 Evaluation Plan -- 6 Conclusions and Lessons Learned -- References -- Identifying Events from Streams of RDF-Graphs Representing News and Social Media Messages -- 1 Introduction -- 2 State of the Art -- 3 Problem Statement and Contributions -- 4 Research Methodology and Approach -- 5 Evaluation Plan -- 6 Conclusions and Lessons Learned -- References -- Towards Visually Intelligent Agents (VIA): A Hybrid Approach -- 1 Introduction and Motivation -- 2 Summary of Literature Review -- 3 Problem Statement and Contributions -- 4 Research Methodology -- 5 Evaluation Plan -- 6 Summary of Intermediate Results -- 7 Conclusions and Lessons Learned -- References -- Using Knowledge Graphs for Machine Learning in Smart Home Forecasters -- 1 Introduction -- 1.1 Internet of Things -- 1.2 Interconnect Project -- 2 State of the Art -- 2.1 SAREF -- 2.2 Creating the Mapping -- 2.3 Prediction Algorithms in IoT -- 2.4 Learning over Knowledge Graphs -- 2.5 Federated Learning -- 3 Problem Statement and Contributions -- 3.1 Contributions -- 4 Research Methodology and Approach -- 5 Evaluation Plan -- 6 Intermediate Results -- 7 Conclusions -- References -- Stigmergic Multi-Agent Systems in the Semantic Web of Things -- 1 Introduction -- 2 State of the Art -- 2.1 Multi-Agent Systems.
2.2 Web of Things -- 3 Problem Statement and Research Questions -- 4 Research Methodology and Approach -- 4.1 Methodology -- 4.2 Approaches -- 5 Evaluation Plan -- 5.1 Modular Smartphone Manufacturing -- 5.2 Smart Home -- 6 Preliminary Results -- 7 Conclusion -- References -- Towards an Ontology for Propaganda Detection in News Articles -- 1 Introduction -- 2 State of the Art -- 2.1 Dis/Misinformation Identification -- 2.2 Argument Mining -- 2.3 Ontology Engineering -- 2.4 Automatic Knowledge Extraction from Text -- 3 Problem Statement and Contributions -- 3.1 Research Question and Hypothesis -- 4 Research Methodology and Approach -- 5 Evaluation Plan -- 6 Conclusions and Limitations -- A Figures -- References -- Industry Track Papers -- A Virtual Knowledge Graph for Enabling Defect Traceability and Customer Service Analytics -- 1 Introduction -- 2 Virtual Knowledge Graph Integration Approach -- 3 Lessons Learned and Benefits -- 4 Conclusion and Future Lines of Work -- References -- Constructing Micro Knowledge Graphs from Technical Support Documents -- 1 Introduction -- 2 Micrograph Construction -- 2.1 Procedure Extraction -- References -- Use Case: Ontologies and RDF-Star for Knowledge Management -- 1 Background -- 1.1 Synaptica, LLC -- 2 The Business Challenge -- 3 The Business Solution -- 3.1 Ontology Management, Workflow, and Systems Integration -- 3.2 Permissions and RDF-Star -- 4 The Technical Solution -- 4.1 RDF-Star -- 4.2 The Significance of RDF-Star -- 4.3 RDF-Star and Complex Access Control Lists (ACLs) -- 4.4 RDF-Star and Property-Level Permissions -- 5 The Results -- Reference -- Correction to: The Semantic Web: ESWC 2021 Satellite Events -- Correction to: R. Verborgh et al. (Eds.): The Semantic Web: ESWC 2021 Satellite Events, LNCS 12739, https://doi.org/10.1007/978-3-030-80418-3 -- Author Index.
Record Nr. UNISA-996464418103316
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
The semantic web : ESWC 2021 satellite events, virtual event, June 6-10, 2021, revised selected papers / / edited by Ruben Verborgh [and eight others]
The semantic web : ESWC 2021 satellite events, virtual event, June 6-10, 2021, revised selected papers / / edited by Ruben Verborgh [and eight others]
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (275 pages)
Disciplina 025.0427
Collana Lecture Notes in Computer Science
Soggetto topico Algorithms
Computer architecture
Information retrieval
Information organization
ISBN 3-030-80418-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents -- Poster and Demo Track Papers -- BiodivOnto: Towards a Core Ontology for Biodiversity -- 1 Introduction -- 2 Methodology -- References -- scikit-learn Pipelines Meet Knowledge Graphs *6pt -- 1 Introduction -- 2 Package Functionalities -- 2.1 Linking and Link Exploration -- 2.2 Feature Generation -- 2.3 Feature Filtering -- 2.4 Matching and Fusion -- 2.5 Other Functionalities -- 3 Demonstration Contents -- 4 Future Developments -- References -- SLURP: An Interactive SPARQL Query Planner -- 1 Introduction -- 2 System Architecture -- 3 Demonstration -- 4 Conclusion -- References -- Towards Easy Vocabulary Drafts with Neologism 2.0 -- 1 Introduction -- 2 Related Work -- 3 Embedding Neologism 2.0 in Common Workflows -- 4 Vocabulary Drafting with Neologism 2.0 -- 5 Future Work -- References -- Dataset Generation Patterns for Evaluating Knowledge Graph Construction -- 1 Introduction and Motivation -- 2 A Pattern Language and Generator for Spreadsheets -- 3 Related Work -- 4 Conclusion and Outlook -- References -- National Library of Latvia Subject Headings as Linked Open Data -- 1 Introduction -- 2 NLLSH Linked Data -- 2.1 Enriching MARC 21 Data -- 2.2 Converting MARC 21 Data to SKOS -- 2.3 Publishing SKOS Datasets -- 3 Conclusion -- References -- Automatic Skill Generation for Knowledge Graph Question Answering -- 1 Introduction and Motivation -- 2 Related Work -- 3 Virtual Assistant Extensions Generator -- 4 Virtual Assistant Extension Usage -- 5 Demonstration -- References -- Converting UML-Based Ontology Conceptualizations to OWL with Chowlk -- 1 Introduction -- 2 Chowlk Features -- 3 Architecture -- 4 Demonstration -- 5 Conclusions and Future Work -- References -- Monetising Resources on a SoLiD Pod Using Blockchain Transactions -- 1 Introduction -- 2 Related Work -- 3 System Architecture.
4 Data Modeling -- 5 Walkthrough for the Demonstrator -- 6 Conclusion -- References -- Towards Scientific Data Synthesis Using Deep Learning and Semantic Web -- 1 Introduction -- 2 Proposed Approach -- References -- RaiseWikibase: Fast Inserts into the BERD Instance -- 1 Introduction -- 2 Raising Wikibase -- 3 Raising BERD -- 4 Conclusions -- References -- Do Judge an Entity by Its Name! Entity Typing Using Language Models -- 1 Introduction -- 2 Related Work -- 3 Model -- 4 Evaluation -- 5 Conclusion and Future Work -- References -- Towards a Domain-Agnostic Computable Policy Tool -- 1 Introduction -- 2 ADAPT Architecture -- 3 Demonstration: Healthcare Guidelines -- 4 ADAPT and Other Computable Policy Tools -- 5 Conclusion -- References -- Towards an Evaluation Framework for Expressive Stream Reasoning -- 1 Introduction -- 2 Framework Setup -- 3 Expressive Stream Reasoning Challenges -- 4 Streaming Scenarios -- 5 Related Work -- 6 Conclusion -- References -- Schema-Backed Visual Queries over Europeana and Other Linked Data Resources -- 1 Introduction -- 2 Data Schema Extraction -- 3 Visual Query Environment -- 4 Discussion and Conclusions -- References -- CLiT: Combining Linking Techniques for Everyone -- 1 Introduction -- 2 System Design -- 3 Conclusion and Future Work -- References -- SANTé: A Light-Weight End-to-End Semantic Search Framework for RDF Data -- 1 Introduction -- 2 Demonstration -- 2.1 Indexing and Instantiating -- 2.2 Access Interfaces -- 2.3 Showcases -- 3 Conclusion -- References -- Coverage-Based Summaries for RDF KBs -- 1 Introduction -- 2 Schema Summarization -- 3 Evaluation and Conclusions -- References -- Named Entity Recognition as Graph Classification -- 1 Introduction -- 2 Approach -- 3 Experiments and Results -- 3.1 Experimental Protocol -- 3.2 Methods -- 3.3 Results -- 4 Conclusion and Future Work -- References.
Exploiting Transitivity for Entity Matching -- 1 Introduction -- 2 Applying Cluster Editing on Matched Entities -- 3 Results -- 4 Conclusion and Future Work -- References -- The Nuremberg Address Knowledge Graph -- 1 Introduction -- 2 Nuremberg Address Knowledge Graph -- 3 Discussion -- 4 Conclusion -- References -- SaGe-Path: Pay-as-you-go SPARQL Property Path Queries Processing Using Web Preemption -- 1 Introduction -- 2 Overview of SaGe-Path -- 3 Demonstration Scenario -- 4 Conclusion -- References -- Ontology for Informatics Research Artifacts -- 1 Introduction -- 2 Ontology Design and Competency Questions -- 3 Ontology Construction and Evaluation -- 4 Conclusion -- References -- Non-named Entities - The Silent Majority -- 1 Introduction -- 2 Non-Named Entities -- 3 Adding Non-named Entities to RDFS KBs -- 4 Bridging the Gap -- 5 Conclusion -- References -- Unsupervised Relation Extraction Using Sentence Encoding -- 1 Introduction -- 2 Our Approach -- 3 Evaluation -- 4 Conclusion and Future Work -- References -- evoKGsim+: A Framework for Tailoring Knowledge Graph-Based Similarity for Supervised Learning -- 1 Introduction -- 2 Methodology -- 3 Evaluation -- 4 Conclusion -- References -- Extraction of Union and Intersection Axioms from Biomedical Text -- 1 Introduction -- 2 Approach -- 3 Results and Discussion -- References -- PhD Symposium Track Papers -- Implementing Informed Consent with Knowledge Graphs -- 1 Introduction -- 2 State of the Art -- 3 Problem Statement and Contributions -- 4 Methodology -- 5 Preliminary Results -- 5.1 System Architecture -- 5.2 Semantic Model for Informed Consent -- 5.3 Semantic Model Visualisation -- 6 Evaluation Plan -- 7 Conclusions and Lessons Learned -- References -- Improving Decision Making Using Semantic Web Technologies -- 1 Motivation -- 2 State-of-the-Art -- 2.1 Semantic Models in Decision Making.
2.2 Use Case Specific Studies -- 3 Problem Statement and Contributions -- 3.1 Problem Statement and Research Question -- 3.2 Contributions -- 4 Research Methodology and Approach -- 5 Evaluation Plan -- References -- Ontological Formalisation of Mathematical Equations for Phenomic Data Exploitation -- 1 Introduction -- 2 State of the Art -- 2.1 Ontology-Based Information Representation -- 2.2 Ontological Reasoning -- 2.3 SPARQL Extensions -- 2.4 Ontology-Based Delegated Computing -- 3 Problem Statement and Contributions -- 4 Research Methodology and Approach -- 4.1 Case Studies -- 5 Evaluation Plan -- 6 Conclusions and Lessons Learned -- References -- Identifying Events from Streams of RDF-Graphs Representing News and Social Media Messages -- 1 Introduction -- 2 State of the Art -- 3 Problem Statement and Contributions -- 4 Research Methodology and Approach -- 5 Evaluation Plan -- 6 Conclusions and Lessons Learned -- References -- Towards Visually Intelligent Agents (VIA): A Hybrid Approach -- 1 Introduction and Motivation -- 2 Summary of Literature Review -- 3 Problem Statement and Contributions -- 4 Research Methodology -- 5 Evaluation Plan -- 6 Summary of Intermediate Results -- 7 Conclusions and Lessons Learned -- References -- Using Knowledge Graphs for Machine Learning in Smart Home Forecasters -- 1 Introduction -- 1.1 Internet of Things -- 1.2 Interconnect Project -- 2 State of the Art -- 2.1 SAREF -- 2.2 Creating the Mapping -- 2.3 Prediction Algorithms in IoT -- 2.4 Learning over Knowledge Graphs -- 2.5 Federated Learning -- 3 Problem Statement and Contributions -- 3.1 Contributions -- 4 Research Methodology and Approach -- 5 Evaluation Plan -- 6 Intermediate Results -- 7 Conclusions -- References -- Stigmergic Multi-Agent Systems in the Semantic Web of Things -- 1 Introduction -- 2 State of the Art -- 2.1 Multi-Agent Systems.
2.2 Web of Things -- 3 Problem Statement and Research Questions -- 4 Research Methodology and Approach -- 4.1 Methodology -- 4.2 Approaches -- 5 Evaluation Plan -- 5.1 Modular Smartphone Manufacturing -- 5.2 Smart Home -- 6 Preliminary Results -- 7 Conclusion -- References -- Towards an Ontology for Propaganda Detection in News Articles -- 1 Introduction -- 2 State of the Art -- 2.1 Dis/Misinformation Identification -- 2.2 Argument Mining -- 2.3 Ontology Engineering -- 2.4 Automatic Knowledge Extraction from Text -- 3 Problem Statement and Contributions -- 3.1 Research Question and Hypothesis -- 4 Research Methodology and Approach -- 5 Evaluation Plan -- 6 Conclusions and Limitations -- A Figures -- References -- Industry Track Papers -- A Virtual Knowledge Graph for Enabling Defect Traceability and Customer Service Analytics -- 1 Introduction -- 2 Virtual Knowledge Graph Integration Approach -- 3 Lessons Learned and Benefits -- 4 Conclusion and Future Lines of Work -- References -- Constructing Micro Knowledge Graphs from Technical Support Documents -- 1 Introduction -- 2 Micrograph Construction -- 2.1 Procedure Extraction -- References -- Use Case: Ontologies and RDF-Star for Knowledge Management -- 1 Background -- 1.1 Synaptica, LLC -- 2 The Business Challenge -- 3 The Business Solution -- 3.1 Ontology Management, Workflow, and Systems Integration -- 3.2 Permissions and RDF-Star -- 4 The Technical Solution -- 4.1 RDF-Star -- 4.2 The Significance of RDF-Star -- 4.3 RDF-Star and Complex Access Control Lists (ACLs) -- 4.4 RDF-Star and Property-Level Permissions -- 5 The Results -- Reference -- Correction to: The Semantic Web: ESWC 2021 Satellite Events -- Correction to: R. Verborgh et al. (Eds.): The Semantic Web: ESWC 2021 Satellite Events, LNCS 12739, https://doi.org/10.1007/978-3-030-80418-3 -- Author Index.
Record Nr. UNINA-9910495167003321
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
The Semantic Web: ESWC 2019 Satellite Events [[electronic resource] ] : ESWC 2019 Satellite Events, Portorož, Slovenia, June 2–6, 2019, Revised Selected Papers / / edited by Pascal Hitzler, Sabrina Kirrane, Olaf Hartig, Victor de Boer, Maria-Esther Vidal, Maria Maleshkova, Stefan Schlobach, Karl Hammar, Nelia Lasierra, Steffen Stadtmüller, Katja Hose, Ruben Verborgh
The Semantic Web: ESWC 2019 Satellite Events [[electronic resource] ] : ESWC 2019 Satellite Events, Portorož, Slovenia, June 2–6, 2019, Revised Selected Papers / / edited by Pascal Hitzler, Sabrina Kirrane, Olaf Hartig, Victor de Boer, Maria-Esther Vidal, Maria Maleshkova, Stefan Schlobach, Karl Hammar, Nelia Lasierra, Steffen Stadtmüller, Katja Hose, Ruben Verborgh
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (XVII, 302 p. 107 illus., 73 illus. in color.)
Disciplina 025.04
Collana Information Systems and Applications, incl. Internet/Web, and HCI
Soggetto topico Information storage and retrieval
Database management
Knowledge representation (Information theory) 
Mathematical logic
Information Storage and Retrieval
Database Management
Knowledge based Systems
Mathematical Logic and Formal Languages
ISBN 3-030-32327-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Artificial Intelligence -- Natural Language Processing -- Databases and Information Systems -- Information Retrieval -- Machine Learning -- Multimedia -- Distributed Systems -- Social Networks -- Web Engineering -- Web Science.
Record Nr. UNISA-996466319903316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
The Semantic Web: ESWC 2019 Satellite Events : ESWC 2019 Satellite Events, Portorož, Slovenia, June 2–6, 2019, Revised Selected Papers / / edited by Pascal Hitzler, Sabrina Kirrane, Olaf Hartig, Victor de Boer, Maria-Esther Vidal, Maria Maleshkova, Stefan Schlobach, Karl Hammar, Nelia Lasierra, Steffen Stadtmüller, Katja Hose, Ruben Verborgh
The Semantic Web: ESWC 2019 Satellite Events : ESWC 2019 Satellite Events, Portorož, Slovenia, June 2–6, 2019, Revised Selected Papers / / edited by Pascal Hitzler, Sabrina Kirrane, Olaf Hartig, Victor de Boer, Maria-Esther Vidal, Maria Maleshkova, Stefan Schlobach, Karl Hammar, Nelia Lasierra, Steffen Stadtmüller, Katja Hose, Ruben Verborgh
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (XVII, 302 p. 107 illus., 73 illus. in color.)
Disciplina 025.04
025.0427
Collana Information Systems and Applications, incl. Internet/Web, and HCI
Soggetto topico Information storage and retrieval
Database management
Knowledge representation (Information theory) 
Mathematical logic
Information Storage and Retrieval
Database Management
Knowledge based Systems
Mathematical Logic and Formal Languages
ISBN 3-030-32327-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Artificial Intelligence -- Natural Language Processing -- Databases and Information Systems -- Information Retrieval -- Machine Learning -- Multimedia -- Distributed Systems -- Social Networks -- Web Engineering -- Web Science.
Record Nr. UNINA-9910349272503321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui