The semantic web 20th international conference, ESWC 2023, Hersonissos, Crete, Greece, May 28-June 1, 2023 : proceedings
Research.- Explainable Phenotype-Centric Drug Repurposing via Deep Reinforcement Learning.- A Comparative Study of Stream Reasoning Engines.- Join Ordering of SPARQL Property Path Queries.- Rening Large Integrated Identity Graphs using the Unique Name Assumption.- Structural Bias in Knowledge Graphs...
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Format: | UnknownFormat |
Sprache: | eng |
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Cham
Springer
2023
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Schriftenreihe: | Lecture notes in computer science
13870 |
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Online Zugang: | Cover Inhaltsverzeichnis |
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Zusammenfassung: | Research.- Explainable Phenotype-Centric Drug Repurposing via Deep Reinforcement Learning.- A Comparative Study of Stream Reasoning Engines.- Join Ordering of SPARQL Property Path Queries.- Rening Large Integrated Identity Graphs using the Unique Name Assumption.- Structural Bias in Knowledge Graphs for the Entity Alignment Task.- A Framework to Include and Exploit Probabilistic Information in SHACL Validation Reports.- Transformer based Semantic Relation Typing for Knowledge Graph Integration.- Entity Linking for KGQA Using AMR Graphs.- REGNUM: Generating Logical Rules with Numerical Predicates in Knowledge Graphs.- Classifying sequences by combining context-free grammars and OWL ontologies.- NASTyLinker: NIL-Aware Scalable Transformer-based Entity Linker.- iSummary: Workload-based, Personalized summaries for Knowledge Graphs.- Neural Class Expression Synthesis.- Evaluating Language Models for Knowledge Base Completion.- Subsumption Prediction on E-Commerce Taxonomies.- Two-view Graph Neural Networks for Knowledge Graph Completion.- GETT-QA: Graph Embedding based T2T Transformer for Knowledge Graph Question Answering.- Repairing EL ontologies using weakening and completing.- Activity Recommendation for Business Process Modeling with Sequence-to-Sequence Models.- Resource.- RELD: A Knowledge Graph of Relation Extraction Datasets.- The Internet Meme Knowledge Graph.- Describing and Organizing Semantic Web and Machine Learning Systems in the SWeMLS-KG.- A Concise Ontology to Support Research on Complex, Multimodal Clinical Reasoning.- LauNuts: A Knowledge Graph to identify and compare geographic regions in the European Union.- HHT : an approach for representing temporally-evolving historical territories.- An Upper Ontology for Modern Science Branches and Related Entities.- K-Hub: a modular ontology to support document retrieval and knowledge extraction in Industry 5.0.- pyRDF2Vec: A Python Implementation and Extension of RDF2Vec.- Boosting Knowledge Graph Generation from Tabular Data with RML Views.- A knowledge graph of contentious terminology for inclusive representation of cultural heritage.- LegalHTML: a Representation Language for Legal Acts.- Whyis 2: An Open Source Framework for Knowledge Graph Development and Research.- In-Use.- Prototyping an End-User User Interface for the Solid Application Interoperability Specication under GDPR.- SemReasoner - A high-performance Knowledge Graph Store and rule-based Reasoner.- LIS: A Knowledge Graph-based Line Information System.- Combining Semantic Web and Machine Learning for Auditable Legal Key Element Extraction.- Understanding Customer Requirements - an Enterprise Knowledge Graph Approach.- Investigating Ontology-based data access with GitHub.- Enabling Live SPARQL Queries Over ConceptNet Using Triple Pattern Fragments.- Evaluation of a Representative Selection of SPARQL Query Engines using Wikidata.- MOSAIK: An Agent-Based Decentralized Control System with Stigmergy For A Transportation Scenario. This book constitutes the refereed proceedings of the 20th International Conference on The Semantic Web, ESWC 2023, held in Hersonissos, Crete, Greece, during May 28-June 1, 2023. The 41 full papers included in this book were carefully reviewed and selected from 167 submissions. They are organized in topical sections as follows: research, resource and in-use |
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Beschreibung: | Literaturangaben |
Beschreibung: | xxvi, 717 Seiten Illustrationen, Diagramme |
ISBN: | 9783031334542 978-3-031-33454-2 |