The Semantic Web - ISWC 2023 22nd International Semantic Web Conference, Athens, Greece, November 6-10, 2023, Proceedings, Part II / [electronic resource] :
edited by Terry R. Payne, Valentina Presutti, Guilin Qi, María Poveda-Villalón, Giorgos Stoilos, Laura Hollink, Zoi Kaoudi, Gong Cheng, Juanzi Li.
- 1st ed. 2023.
- XLVI, 476 p. 147 illus., 122 illus. in color. online resource.
- Lecture Notes in Computer Science, 14266 1611-3349 ; .
- Lecture Notes in Computer Science, 14266 .
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.
9783031472435
10.1007/978-3-031-47243-5 doi
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.
QA76.9.D3
005.74
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.
9783031472435
10.1007/978-3-031-47243-5 doi
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.
QA76.9.D3
005.74