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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
  • © 2016

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Editors:
  1. Huajun Chen

    1. Zhejiang University, Zhejiang, China

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  2. Heng Ji

    1. Rensselaer Polytechnic Institute, Troy, USA

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  3. Le Sun

    1. Chinese Academy of Sciences, Beijing, China

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  4. Haixun Wang

    1. Google Research, Mountain View, USA

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  5. Tieyun Qian

    1. Wuhan University, Wuhan, China

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  6. Tong Ruan

    1. East China University of Science and Technology, Shanghai, China

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

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Conference proceedings info: CCKS 2016.

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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.

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Keywords

Table of contents (25 papers)

  1. Front Matter

    Pages I-XIII
    Download chapter PDF

  2. Knowledge Representation and Learning

    1. Front Matter

      Pages 1-1
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    2. A Joint Embedding Method for Entity Alignment of Knowledge Bases

      • Yanchao Hao, Yuanzhe Zhang, Shizhu He, Kang Liu, Jun Zhao
      Pages 3-14

    3. A Multi-dimension Weighted Graph-Based Path Planning with Avoiding Hotspots

      • Shuo Jiang, Zhiyong Feng, Xiaowang Zhang, Xin Wang, Guozheng Rao
      Pages 15-26

    4. Position Paper: The Unreliability of Language - A Common Issue for Knowledge Engineering and Buddhism

      • Zhangquan Zhou, Guilin Qi
      Pages 27-32

    5. Construction of Domain Ontology for Engineering Equipment Maintenance Support

      • YongHua Zeng, JianDong Zhuang, ZhengLian Su
      Pages 33-38

  3. Knowledge Graph Construction and Information Extraction

    1. Front Matter

      Pages 39-39
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    2. Boosting to Build a Large-Scale Cross-Lingual Ontology

      • Zhigang Wang, Liangming Pan, Juanzi Li, Shuangjie Li, Mingyang Li, Jie Tang
      Pages 41-53

    3. Large Scale Semantic Relation Discovery: Toward Establishing the Missing Link Between Wikipedia and Semantic Network

      • Xianpei Han, Xiliang Song, Le Sun
      Pages 54-66

    4. Biomedical Event Trigger Detection Based on Hybrid Methods Integrating Word Embeddings

      • Lishuang Li, Meiyue Qin, Degen Huang
      Pages 67-79

    5. GRU-RNN Based Question Answering Over Knowledge Base

      • Shini Chen, Jianfeng Wen, Richong Zhang
      Pages 80-91

    6. Towards Personal Relation Extraction Based on Sentence Pattern Tree

      • Zhao Jiapeng, Yan Yang, Liu Tingwen, Shi Jinqiao
      Pages 92-103

    7. An Initial Ingredient Analysis of Drugs Approved by China Food and Drug Administration

      • Haodi Li, Qingcai Chen, Buzhou Tang, Dong Huang, Xiaolong Wang, Zengjian Liu
      Pages 104-109

    8. A Tableau-Based Forgetting in ALCQ

      • Hong Fang, Xiaowang Zhang
      Pages 110-116

    9. Mining RDF Data for OWL2 RL Axioms

      • Yuanyuan Li, Huiying Li, Jing Shi
      Pages 117-123

    10. A Mixed Method for Building the Uyghur and Chinese Domain Ontology

      • Yilahun Hankiz, Imam Seyyare, Hamdulla Askar
      Pages 124-129

  4. Linked Data and Knowledge-Based Systems

    1. Front Matter

      Pages 131-131
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    2. Link Prediction via Mining Markov Logic Formulas to Improve Social Recommendation

      • Zhuoyu Wei, Jun Zhao, Kang Liu, Shizhu He
      Pages 133-145

    3. Graph-Based Jointly Modeling Entity Detection and Linking in Domain-Specific Area

      • Jiangtao Zhang, Juanzi Li
      Pages 146-159

    4. LD2LD: Integrating, Enriching and Republishing Library Data as Linked Data

      • Qingliang Miao, Ruiyu Fang, Lu Fang, Yao Meng, Chenying Li, Mingjie Han et al.
      Pages 160-171
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Other volumes

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

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

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