Knowledge Graphs: Semantics, Machine Learning, and Languages: Proceedings of the 19th International Conference on Semantic Systems, 20-22 September . Germany (Studies on the Semantic Web, 56)

ISBN 10: 1643684248 / ISBN 13: 9781643684246

Published by SAGE Publications Ltd, 2023

About this Item

Seller Inventory # 26404725959

Bibliographic Details

• Title: Knowledge Graphs: Semantics, Machine Learning, and Languages: Proceedings of the 19th International Conference on Semantic Systems, 20-22 September . Germany (Studies on the Semantic Web, 56)
• Publisher: SAGE Publications Ltd
• Publication Date: 2023
• Language: English
• ISBN 10: 1643684248
• ISBN 13: 9781643684246
• Binding: Soft cover
• Condition: New

About this title

Synopsis

Semantic computing is an integral part of modern technology, an essential component of fields as diverse as artificial intelligence, data science, knowledge discovery and management, big data analytics, e-commerce, enterprise search, technical documentation, document management, business intelligence, and enterprise vocabulary management. This book presents the proceedings of SEMANTICS 2023, the 19th International Conference on Semantic Systems, held in Leipzig, Germany, from 20 to 22 September 2023. The conference is a pivotal event for those professionals and researchers actively engaged in harnessing the power of semantic computing, an opportunity to increase their understanding of the subject’s transformative potential while confronting its practical limitations. Attendees include information managers, IT architects, software engineers, and researchers from a broad spectrum of organizations, including research facilities, non-profit entities, public administrations, and the world′s largest corporations. For this year’s conference a total of 54 submissions were received in response to a call for papers. These were subjected to a rigorous, double-blind review process, with at least three independent reviews conducted for each submission. The 16 papers included here were ultimately accepted for presentation, with an acceptance rate of 29.6%. Areas covered include novel research challenges in areas such as data science, machine learning, logic programming, content engineering, social computing, and the Semantic Web. The book provides an up-to-date overview, which will be of interest to all those wishing to stay abreast of emerging trends and themes within the vast field of semantic computing.