Overview
Part of the book series: Communications in Computer and Information Science (CCIS, volume 784)
Included in the following conference series:
Conference proceedings info: CCKS 2017.
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About this book
This book constitutes the refereed proceedings of the Second China Conference on Knowledge Graph and Semantic Computing, CCKS 2017, held in Chengdu, China, in August 2017.
The 11 revised full papers and 6 revised short papers presented were carefully reviewed and selected from 85 submissions. The papers cover wide research fields including the knowledge graph, the Semantic Web, linked data, NLP, knowledge representation, graph databases.
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Keywords
- knowledge graph
- semantic computing
- semantics
- semantic web
- knowledge base
- learning systems
- knowledge representation
- data mining
- graphic methods
- ontology
- social networking
- knowledge management
- knowledge basis
- information extraction
- relation extraction
- entity linking
- topic extraction
- community detection
- knowledge linking and integration
- knowledge based Q&A
Table of contents (17 papers)
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Knowledge Graph and Semantic Computing. Language, Knowledge, and Intelligence
Editors and Affiliations
Bibliographic Information
Book Title: Knowledge Graph and Semantic Computing. Language, Knowledge, and Intelligence
Book Subtitle: Second China Conference, CCKS 2017, Chengdu, China, August 26–29, 2017, Revised Selected Papers
Editors: Juanzi Li, Ming Zhou, Guilin Qi, Ni Lao, Tong Ruan, Jianfeng Du
Series Title: Communications in Computer and Information Science
DOI: https://doi.org/10.1007/978-981-10-7359-5
Publisher: Springer Singapore
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2017
Softcover ISBN: 978-981-10-7358-8Published: 20 January 2018
eBook ISBN: 978-981-10-7359-5Published: 18 January 2018
Series ISSN: 1865-0929
Series E-ISSN: 1865-0937
Edition Number: 1
Number of Pages: XIV, 173
Number of Illustrations: 42 b/w illustrations
Topics: Artificial Intelligence, Data Mining and Knowledge Discovery, Database Management, Information Storage and Retrieval, Big Data