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Can I read Semantic Technology: 5th Joint International Conference, JIST 2015, Yichang, China, November 11-13, 2015, Revised Selected Papers (Lecture Notes in Computer Science Book 9544) on EtoBox?

Semantic Technology: 5th Joint International Conference, JIST 2015, Yichang, China, November 11-13, 2015, Revised Selected Papers (Lecture Notes in Computer Science Book 9544) by Guilin Qi, Kouji Kozaki, Jeff Z. Pan, Siwei Yu (eds.) is a nonfiction available to read on EtoBox.

What is Semantic Technology: 5th Joint International Conference, JIST 2015, Yichang, China, November 11-13, 2015, Revised Selected Papers (Lecture Notes in Computer Science Book 9544) about?

This book constitutes the thoroughly refereed proceedings of the 5th Joint International Semantic Technology Conference, JIST 2015, held in Yichang, China, in November 2015. The theme of the JIST 2015 conference was "Big Data and Social Media". The JIST 2015 conference consisted of main technical tracks including 2 keynotes, 2 invited talks, a regular technical paper track (full and short papers), an in-use track, a poster and demo session, workshop, and tutorial. The 14 full and 8 short papers in this volume were carefully reviewed and selected from 43 submissions. The paper cover the following topics: ontology and reasoning, linked data, learning and discovery, RDF and query, knowledge graph, knowledge integration, query and recommendation, and applications of semantic technologies.

Who reads Semantic Technology: 5th Joint International Conference, JIST 2015, Yichang, China, November 11-13, 2015, Revised Selected Papers (Lecture Notes in Computer Science Book 9544)?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Guilin Qi, Kouji Kozaki, Jeff Z. Pan, Siwei Yu (eds.)
Publisher
Springer International Publishing : Imprint Springer, Springer International Publishing, Imprint Springer
Published
2016
Language
EN
ISBN
9783319316765
Category
nonfiction
Subjects
Science, Computer Science, Mathematics

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