Knowledge Graph and Semantic Computing. Knowledge Computing and Language Understanding: Third China Conference, CCKS 2018, Tianjin, China, August 14–17, 2018, Revised Selected Papers

Author:   Jun Zhao ,  Frank van Harmelen ,  Jie Tang ,  Xianpei Han
Publisher:   Springer Verlag, Singapore
Edition:   1st ed. 2019
Volume:   957
ISBN:  

9789811331459


Pages:   143
Publication Date:   19 January 2019
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Knowledge Graph and Semantic Computing. Knowledge Computing and Language Understanding: Third China Conference, CCKS 2018, Tianjin, China, August 14–17, 2018, Revised Selected Papers


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Overview

This book constitutes the refereed proceedings of the Third China Conference on Knowledge Graph and Semantic Computing, CCKS 2018, held in Tianjin, China, in August 2018. The 27 revised full papers and 2 revised short papers presented were carefully reviewed and selected from 101 submissions. The papers cover wide research fields including the knowledge graph, information extraction, knowledge representation and reasoning, linked data.

Full Product Details

Author:   Jun Zhao ,  Frank van Harmelen ,  Jie Tang ,  Xianpei Han
Publisher:   Springer Verlag, Singapore
Imprint:   Springer Verlag, Singapore
Edition:   1st ed. 2019
Volume:   957
Weight:   0.454kg
ISBN:  

9789811331459


ISBN 10:   9811331456
Pages:   143
Publication Date:   19 January 2019
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

Towards answering geography questions in Gaokao: a hybrid approach.- Distant supervision for chinese temporal tagging.- Convolutional neural network-based question answering over knowledge base with type constraint.- MMCRD: An effective algorithm for deploying monitoring point on social network.- Deep learning for knowledge-driven ontology stream prediction.- DSKG: a Deep sequential model for knowledge graph completion.- Pattern learning for Chinese open information extraction.- Adversarial training for relation classification with attention based gate mechanism.- A novel approach on entity linking for encyclopedia infoboxes.- Predicting concept-based research trends with rhetorical framing.- Knowledge augmented inference network for natural language inference.- Survey on schema induction from knowledge graphs.

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