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The Semantic Web – ISWC 2023 22nd International Semantic Web Conference, Athens, Greece, November 6–10, 2023, Proceedings, Part I /

This book constitutes the proceedings of the 22nd International Semantic Web Conference, ISWC 2023, which took place in October 2023 in Athens, Greece. The 58 full papers presented in this double volume were thoroughly reviewed and selected from 248 submissions. Many submissions focused on the use o...

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Bibliografische gegevens
Coauteur: SpringerLink (Online service)
Andere auteurs: Payne, Terry R. (Redacteur), Presutti, Valentina (Redacteur), Qi, Guilin (Redacteur), Poveda-Villalón, María (Redacteur), Stoilos, Giorgos (Redacteur), Hollink, Laura (Redacteur), Kaoudi, Zoi (Redacteur), Cheng, Gong (Redacteur), Li, Juanzi (Redacteur)
Formaat: Elektronisch E-boek
Taal:Engels
Gepubliceerd in: Cham : Springer Nature Switzerland : Imprint: Springer, 2023.
Editie:1st ed. 2023.
Reeks:Lecture Notes in Computer Science, 14265
Onderwerpen:
Database management.
Artificial intelligence.
Application software.
Computer science.
Data structures (Computer science).
Information theory.
Database Management.
Artificial Intelligence.
Computer and Information Systems Applications.
Theory of Computation.
Data Structures and Information Theory.
Online toegang:https://doi.org/10.1007/978-3-031-47240-4
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Omschrijving
Samenvatting:This book constitutes the proceedings of the 22nd International Semantic Web Conference, ISWC 2023, which took place in October 2023 in Athens, Greece. The 58 full papers presented in this double volume were thoroughly reviewed and selected from 248 submissions. Many submissions focused on the use of reasoning and query answering, with a number addressing engineering, maintenance, and alignment tasks for ontologies. Likewise, there has been a healthy batch of submissions on search, query, integration, and the analysis of knowledge. Finally, following the growing interest in neuro-symbolic approaches, there has been a rise in the number of studies that focus on the use of Large Language Models and Deep Learning techniques such as Graph Neural Networks.
Fysieke beschrijving:1 online resource (XLV, 640 p. 150 illus.). 131 illus. in color.
ISBN:9783031472404
ISSN:1611-3349 ;
DOI:10.1007/978-3-031-47240-4

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