Knowledge Graph and Semantic Computing: Knowledge Graph Empowers New Infrastructure Construction: 6th China Conference, CCKS 2021, Guangzhou, China, November 4-7, 2021, Proceedings
Author:   Bing Qin ,  Zhi Jin ,  Haofen Wang ,  Jeff Pan
Publisher:   Springer Verlag, Singapore
Edition:   1st ed. 2021
Volume:   1466
ISBN:  

9789811664700


Pages:   330
Publication Date:   07 October 2021
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Knowledge Graph and Semantic Computing: Knowledge Graph Empowers New Infrastructure Construction: 6th China Conference, CCKS 2021, Guangzhou, China, November 4-7, 2021, Proceedings


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Overview

This book constitutes the refereed proceedings of the 6th China Conference on Knowledge Graph and Semantic Computing, CCKS 2021, held in  Guangzhou, China, in November 2021.  The 19 revised full papers and 9 short papers presented were carefully reviewed and selected from 170 submissions. The papers are organized in topical sections on ​knowledge extraction: knowledge graph representation and reasoning; knowledge acquisition and knowledge graph construction; linked data, knowledge integration, and knowledge graph storage management; natural language understanding and semantic computing; knowledge graph applications: semantic search, question answering, dialogue, decision support, and recommendation; knowledge graph open resources.

Full Product Details

Author:   Bing Qin ,  Zhi Jin ,  Haofen Wang ,  Jeff Pan
Publisher:   Springer Verlag, Singapore
Imprint:   Springer Verlag, Singapore
Edition:   1st ed. 2021
Volume:   1466
Weight:   0.534kg
ISBN:  

9789811664700


ISBN 10:   9811664706
Pages:   330
Publication Date:   07 October 2021
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Knowledge Graph Representation and Reasoning.- Knowledge Acquisition and Knowledge Graph Construction.- Linked Data, Knowledge Integration, and Knowledge Graph Storage Management.- Natural Language Understanding and Semantic Computing.- Knowledge Graph Applications: Semantic Search,Question Answering, Dialogue, Decision Support, and Recommendation.- Knowledge Graph Open Resources.

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