Meroño Peñuela / Dimou / Troncy The Semantic Web
Erscheinungsjahr 2024
ISBN: 978-3-031-60635-9
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
21st International Conference, ESWC 2024, Hersonissos, Crete, Greece, May 26–30, 2024, Proceedings, Part II
E-Book, Englisch, 252 Seiten
Reihe: Lecture Notes in Computer Science
ISBN: 978-3-031-60635-9
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
The two-volume set LNCS 14664 and 14665 constitutes the refereed proceedings of the 21st International Conference on The Semantic Web, ESWC 2024, held in Hersonissos, Crete, Greece, during May 26-30, 2024.
The 32 full papers presented were carefully reviewed and selected from 138 submissions. They focus on all aspects of theoretical, analytical, and empirical aspects of the semantic web, semantic technologies, knowledge graphs and semantics on the web in general.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
.- Resource.
.- PyGraft: Configurable Generation of Synthetic Schemas and Knowledge
Graphs at Your Fingertips.
.- NORIA-O: An Ontology for Anomaly Detection and Incident
Management in ICT Systems.
.- FlexRML: A Flexible and Memory Efficient Knowledge Graph Materializer.
.- IICONGRAPH: improved Iconographic and Iconological Statements in
Knowledge Graphs.
.- VisionKG: Unleashing the Power of Visual Datasets via Knowledge Graph.
.- OfficeGraph: A Knowledge Graph of Office Building IoT Measurements.
.- Musical Meetups Knowledge Graph (MMKG): a network of evidence
for historical social network analysis.
.- Generate and Update Large RDF Knowledge Graphs on Commodity
Hardware.
.- SMW Cloud: A Corpus of Domain-Specific Knowledge Graphs from
Semantic MediaWikis.
.- SousLeSens - a Comprehensive Suite for the Industrial Practice of
Semantic Knowledge Graphs.
.- MLSea: A Semantic Layer for Discoverable Machine Learning.
.- Enabling Social Demography Research using Semantic Technologies.
.- SCOOP all the Constraints’ Flavours for your Knowledge Graph.
.- FidMark: A Fiducial Marker Ontology for Semantically Describing
Visual Markers.
