An architecture of semantic knowledge system for biosafety

  • Authors:
  • Xianggen Wang;Tiejian Luo;Chi Zhang;Wei Liu

  • Affiliations:
  • School of Information Science and Engineering, Graduate University of Chinese Academy of Sciences, Beijing, China;School of Information Science and Engineering, Graduate University of Chinese Academy of Sciences, Beijing, China;School of Information Science and Engineering, Graduate University of Chinese Academy of Sciences, Beijing, China;School of Information Science and Engineering, Graduate University of Chinese Academy of Sciences, Beijing, China

  • Venue:
  • FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 2
  • Year:
  • 2009

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Abstract

The development and maintenance of domain knowledge based system need a lot of manual operations, and with the increasing amount of contents in the system, it is more and more difficult to find the relevant information. The keyword based search usually can not return the accurate result. To solve these problems, this paper proposes a semantic knowledge system with ontology engineering approach. It can acquire data and update knowledge system with less human efforts, and the feedback mechanism can help the knowledge system automatically correct the inaccurate metadata. The semantic query improves the keyword based query and returns the answer accurately. The customized interactive user interface is implemented with proper technology to display the knowledge hierarchy and data relationship, and improves the efficiency of the system user.