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Knowledge Graph and Semantic Computing: Semantic, Knowledge, and Linked Big Data [electronic resource] : 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.] | Ji, Heng [editor.] | Sun, Le [editor.] | Wang, Haixun [editor.] | Qian, Tieyun [editor.] | Ruan, Tong [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Communications in Computer and Information Science: 650Publisher: Singapore : Springer Singapore : Imprint: Springer, 2016Description: XIII, 250 p. 50 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9789811031687.Subject(s): Computer science | Data mining | Artificial intelligence | Computer Science | Artificial Intelligence (incl. Robotics) | Data Mining and Knowledge Discovery | Information Systems Applications (incl. Internet)Additional physical formats: Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access online
Contents:
Knowledge representation and learning -- Knowledge graph construction and information extraction -- Linked data and knowledge-based systems -- Shared tasks.
In: Springer eBooksSummary: 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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