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Knowledge Graph and Semantic Computing: Semantic, Knowledge, and Linked Big Data : First China Conference, CCKS 2016, Beijing, China, September 19-22, 2016, Revised Selected Papers / edited by Huajun Chen, Heng Ji, Le Sun, Haixun Wang, Tieyun Qian, Tong Ruan

Contributor(s): Chen, Huajun, editor literario | Ji, Heng, editor literario | Qian, Tieyun., editor literario | Ruan, Tong., editor literario | Sun, Le., editor literario | Wang, Haixun., editor literario
Material type: materialTypeLabelE-bookSeries: (Communications in Computer and Information Science, 1865-0929; 650).Publisher: Singapore : Springer, 2016Description: 1 recurso en línea (XIII, 250 páginas) : 50 ilustraciones.ISBN: 9789811031687.Subject: Semántica -- Proceso de datos | Inteligencia artificial | Data miningOnline resources: Click here to access onlineDigital Resources
Contents:
Knowledge representation and learning -- Knowledge graph construction and information extraction -- Linked data and knowledge-based systems -- Shared tasks.
Summary: This book constitutes the refereed proceedings of the first China Conference on Knowledge Graph and Semantic Computing, CCKS, held in Beijing, China, in September 2016. The 19 revised full papers presented together with 6 shared tasks were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on knowledge representation and learning; knowledge graph construction and information extraction; linked data and knowledge-based systems; shared tasks.
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Knowledge representation and learning -- Knowledge graph construction and information extraction -- Linked data and knowledge-based systems -- Shared tasks.

This book constitutes the refereed proceedings of the first China Conference on Knowledge Graph and Semantic Computing, CCKS, held in Beijing, China, in September 2016. The 19 revised full papers presented together with 6 shared tasks were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on knowledge representation and learning; knowledge graph construction and information extraction; linked data and knowledge-based systems; shared tasks.

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