The Semantic Web - ISWC 2023 : 22nd International Semantic Web Conference, Athens, Greece, November 6-10, 2023, Proceedings, Part II /

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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Bibliographic Details
Corporate Author:	SpringerLink (Online service)
Other Authors:	Payne, Terry R. (Editor), Presutti, Valentina (Editor), Qi, Guilin (Editor), Poveda-Villalón, María (Editor), Stoilos, Giorgos (Editor), Hollink, Laura (Editor), Kaoudi, Zoi (Editor), Cheng, Gong (Editor), Li, Juanzi (Editor)
Format:	eBook
Language:	English
Published:	Cham : Springer Nature Switzerland : Imprint: Springer, 2023.
Edition:	1st ed. 2023.
Series:	Lecture Notes in Computer Science, 14266
Subjects:	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. Electronic books.
Online Access:	Connect to the full text of this electronic book

Description
Summary:	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.
Physical Description:	1 online resource (XLVI, 476 pages 147 illustrations, 122 illustrations in color.)
ISBN:	9783031472435
ISSN:	1611-3349 ;
DOI:	10.1007/978-3-031-47243-5