Synthesis Lectures on the Semantic Web: Theory and Technology (SLSW:TT)

Publisher : Morgan and Claypool Publishers

Semantic Web Artificial Intelligence Computer Science

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e-ISSN 2160-472X

p-ISSN 2160-4711

Issue Frequency Irregular

Est. Year 2011

Mobile 14157858003

DOI YES

Language English

APC YES

Email yingding@pitt.edu

Journal Descriptions

Synthesis Lectures on the Semantic Web: Theory and Technology is an advanced scholarly book series dedicated to the rapidly evolving field of Semantic Web technologies and intelligent web systems. Published by Morgan & Claypool Publishers, the series provides comprehensive tutorial style monographs and research surveys written by leading international experts in semantic technologies, linked data, artificial intelligence, and knowledge engineering. The publication focuses on both theoretical foundations and practical applications of the Semantic Web. Topics include ontology engineering, linked data, semantic search, machine readable data, natural language processing, reasoning systems, knowledge graphs, web services, data integration, semantic interoperability, and Web 3.0 technologies. The series also explores applications in healthcare, e science, government data systems, digital libraries, and intelligent information retrieval. Unlike conventional journals, the series publishes long form educational lectures and research monographs that bridge the gap between introductory textbooks and specialized research articles. It serves graduate students, researchers, software engineers, and professionals interested in semantic technologies and intelligent information systems. The series has been indexed in Scopus and other major academic databases and is recognized within artificial intelligence and web science communities.

Synthesis Lectures on the Semantic Web: Theory and Technology (SLSW:TT) is :-

International, Peer-Reviewed, Open Access, Refereed, Semantic Web, Artificial Intelligence, Computer Science, Linked Data, Knowledge Representation, Web Technologies, Ontology Engineering, Data Science, ontology engineering, linked data, semantic search, machine readable data, natural language processing, reasoning systems, knowledge graphs, web services, data integration, semantic interoperability, Web 3.0 technologies, e science, government data systems, digital libraries, intelligent information retrieval , Online or Print , Irregular Journal
UGC Approved, ISSN Approved: P-ISSN P-ISSN: 2160-4711, E-ISSN: 2160-472X, Established: 2011,
Provides Crossref DOI
Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE