© 2016

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

  • Huajun Chen
  • Heng Ji
  • Le Sun
  • Haixun Wang
  • Tieyun Qian
  • Tong Ruan
Conference proceedings CCKS 2016

Part of the Communications in Computer and Information Science book series (CCIS, volume 650)

Table of contents

  1. Front Matter
    Pages I-XIII
  2. Knowledge Representation and Learning

    1. Front Matter
      Pages 1-1
    2. Yanchao Hao, Yuanzhe Zhang, Shizhu He, Kang Liu, Jun Zhao
      Pages 3-14
    3. Shuo Jiang, Zhiyong Feng, Xiaowang Zhang, Xin Wang, Guozheng Rao
      Pages 15-26
    4. YongHua Zeng, JianDong Zhuang, ZhengLian Su
      Pages 33-38
  3. Knowledge Graph Construction and Information Extraction

    1. Front Matter
      Pages 39-39
    2. Zhigang Wang, Liangming Pan, Juanzi Li, Shuangjie Li, Mingyang Li, Jie Tang
      Pages 41-53
    3. Shini Chen, Jianfeng Wen, Richong Zhang
      Pages 80-91
    4. Zhao Jiapeng, Yan Yang, Liu Tingwen, Shi Jinqiao
      Pages 92-103
    5. Haodi Li, Qingcai Chen, Buzhou Tang, Dong Huang, Xiaolong Wang, Zengjian Liu
      Pages 104-109
    6. Hong Fang, Xiaowang Zhang
      Pages 110-116
    7. Yuanyuan Li, Huiying Li, Jing Shi
      Pages 117-123
    8. Yilahun Hankiz, Imam Seyyare, Hamdulla Askar
      Pages 124-129
  4. Linked Data and Knowledge-Based Systems

    1. Front Matter
      Pages 131-131
    2. Zhuoyu Wei, Jun Zhao, Kang Liu, Shizhu He
      Pages 133-145
    3. Qingliang Miao, Ruiyu Fang, Lu Fang, Yao Meng, Chenying Li, Mingjie Han et al.
      Pages 160-171

About these proceedings


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.


Knowledge representation Knowledge engineering Knowledge graph Information extraction Data mining Semantic network Relation extraction Linked data Link prediction Entity detection Domain ontology Object clustering Entity alignment Event detection Path planning Knowledge base Triplet classification Neural network

Editors and affiliations

  • Huajun Chen
    • 1
  • Heng Ji
    • 2
  • Le Sun
    • 3
  • Haixun Wang
    • 4
  • Tieyun Qian
    • 5
  • Tong Ruan
    • 6
  1. 1.Zhejiang UniversityZhejiangChina
  2. 2.Rensselaer Polytechnic InstituteTroyUSA
  3. 3.Chinese Academy of SciencesBeijingChina
  4. 4.Google ResearchMountain ViewUSA
  5. 5.Wuhan UniversityWuhanChina
  6. 6.East China University of Science and TechnologyShanghaiChina

Bibliographic information

  • Book Title Knowledge Graph and Semantic Computing: Semantic, Knowledge, and Linked Big Data
  • Book Subtitle First China Conference, CCKS 2016, Beijing, China, September 19-22, 2016, Revised Selected Papers
  • Editors Huajun Chen
    Heng Ji
    Le Sun
    Haixun Wang
    Tieyun Qian
    Tong Ruan
  • Series Title Communications in Computer and Information Science
  • Series Abbreviated Title Communic.Comp.Inf.Science
  • DOI
  • Copyright Information Springer Nature Singapore Pte Ltd. 2016
  • Publisher Name Springer, Singapore
  • eBook Packages Computer Science Computer Science (R0)
  • Softcover ISBN 978-981-10-3167-0
  • eBook ISBN 978-981-10-3168-7
  • Series ISSN 1865-0929
  • Series E-ISSN 1865-0937
  • Edition Number 1
  • Number of Pages XIII, 250
  • Number of Illustrations 50 b/w illustrations, 0 illustrations in colour
  • Topics Artificial Intelligence
    Data Mining and Knowledge Discovery
    Information Systems Applications (incl. Internet)
  • Buy this book on publisher's site
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