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  • Conference proceedings
  • © 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

Conference proceedings info: CCKS 2016.

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Table of contents (25 papers)

  1. Linked Data and Knowledge-Based Systems

    1. Object Clustering in Linked Data Using Centrality

      • Xiang Zhang, Yulian Lv, Erjing Lin
      Pages 172-183
    2. Research on Knowledge Fusion Connotation and Process Model

      • Hao Fan, Fei Wang, Mao Zheng
      Pages 184-195
    3. E-SKB: A Semantic Knowledge Base for Emergency

      • Chang Wen, Yu Liu, Jinguang Gu, Jing Chen, Yingping Zhang
      Pages 196-202
  2. CCKS 2016 Shared Tasks

    1. Front Matter

      Pages 203-203
    2. ICRC-DSEDL: A Film Named Entity Discovery and Linking System Based on Knowledge Bases

      • YaHui Zhao, Haodi Li, Qingcai Chen, Jianglu Hu, Guangpeng Zhang, Dong Huang et al.
      Pages 205-213
    3. Domain-Specific Entity Discovery and Linking Task

      • Tao Yang, Feng Zhang, Xiao Li, Qianghuai Jia, Ce Wang
      Pages 214-218
    4. Knowledge Base Completion via Rule-Enhanced Relational Learning

      • Shu Guo, Boyang Ding, Quan Wang, Lihong Wang, Bin Wang
      Pages 219-227
    5. Knowledge Graph Embedding for Link Prediction and Triplet Classification

      • E. Shijia, Shengbin Jia, Yang Xiang, Zilian Ji
      Pages 228-232
    6. Product Forecasting Based on Average Mutual Information and Knowledge Graph

      • Zili Zhou, Zhen Zou, Junyi Liu, Yun Zhang
      Pages 233-242
    7. Product Prediction with Deep Neural Networks

      • E. Shijia, Yang Xiang
      Pages 243-247
  3. Back Matter

    Pages 249-250

Other Volumes

  1. Knowledge Graph and Semantic Computing: Semantic, Knowledge, and Linked Big Data

About this book

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.

Editors and Affiliations

  • Zhejiang University, Zhejiang, China

    Huajun Chen

  • Rensselaer Polytechnic Institute, Troy, USA

    Heng Ji

  • Chinese Academy of Sciences, Beijing, China

    Le Sun

  • Google Research, Mountain View, USA

    Haixun Wang

  • Wuhan University, Wuhan, China

    Tieyun Qian

  • East China University of Science and Technology, Shanghai, China

    Tong Ruan

Bibliographic Information

Buy it now

Buying options

eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access