The Semantic Web -

The Semantic Web

20th International Conference, ESWC 2023, Hersonissos, Crete, Greece, May 28–June 1, 2023, Proceedings
Buch | Softcover
XXVI, 717 Seiten
2023 | 1st ed. 2023
Springer International Publishing (Verlag)
978-3-031-33454-2 (ISBN)
117,69 inkl. MwSt
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.

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.

Erscheinungsdatum
Reihe/Serie Lecture Notes in Computer Science
Zusatzinfo XXVI, 717 p. 241 illus., 131 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 1122 g
Themenwelt Informatik Datenbanken Data Warehouse / Data Mining
Schlagworte Artificial Intelligence • Database • Directed graphs • graph theory • Information Retrieval • Interaction Design • Internet • Knowledge Representation and Reasoning • Logic • machine learning • Natural Language Processing • Resource Description Framework (RDF) • semantic web description languages • World Wide Web
ISBN-10 3-031-33454-X / 303133454X
ISBN-13 978-3-031-33454-2 / 9783031334542
Zustand Neuware
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