• DocumentCode
    1866306
  • Title

    Chinese enterprise knowledge graph construction based on Linked Data

  • Author

    Qingliang Miao ; Yao Meng ; Bo Zhang

  • Author_Institution
    Fujitsu R&D Center Co., Ltd., Beijing, China
  • fYear
    2015
  • fDate
    7-9 Feb. 2015
  • Firstpage
    153
  • Lastpage
    154
  • Abstract
    Enterprise knowledge graph is crucial for both enterprises and their management agencies. However, enterprise knowledge graph construction faces several challenges such as heterogeneous taxonomies, knowledge inconsistencies or conflicts and lack of semantic links. In this paper, we use Linked Data paradigm to construct enterprise knowledge graph by integrating heterogeneous enterprise data itself as well as link enterprise data with external data. Preliminary experiment on real world dataset shows the proposed approach is effective.
  • Keywords
    business data processing; data integration; knowledge management; Chinese enterprise knowledge graph construction; enterprise data integration; heterogeneous enterprise data; heterogeneous taxonomies; knowledge conflicts; knowledge inconsistencies; linked data paradigm; semantic links; Joining processes; Patents; Enterprise Data Integration; Entity Linking; Knowledge Validation; Linked Data;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Semantic Computing (ICSC), 2015 IEEE International Conference on
  • Conference_Location
    Anaheim, CA
  • Type

    conf

  • DOI
    10.1109/ICOSC.2015.7050795
  • Filename
    7050795