Journal of Integrative Agriculture ›› 2012, Vol. 11 ›› Issue (5): 831-838.DOI: 10.1016/S1671-2927(00)8605

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Study of Ontology-Based Swine Diagnosis Technology

 CUI Yun-peng, SU Xiao-lu, LIU Shi-hong   

  1. Key Laboratory of Agri-Information Service Technology, Ministry of Agriculture/Agriculture Information Institute, Chinese Academy of Agriculture Sciences, Beijing 100081, P.R.China
  • 收稿日期:2011-10-08 出版日期:2012-05-01 发布日期:2012-07-18
  • 通讯作者: Correspondence CUI Yun-peng, Tel: +86-10-82106265, Fax: +86-10-82109655, E-mail: cyunpeng@163.com
  • 作者简介:CUI Yun-peng, Tel: +86-10-82106265, Fax: +86-10-82109655, E-mail: cyunpeng@163.com
  • 基金资助:

    The research was supported by the Special Project, Ministry of Agriculture, China (2012-J-01).

Study of Ontology-Based Swine Diagnosis Technology

 CUI Yun-peng, SU Xiao-lu, LIU Shi-hong   

  1. Key Laboratory of Agri-Information Service Technology, Ministry of Agriculture/Agriculture Information Institute, Chinese Academy of Agriculture Sciences, Beijing 100081, P.R.China
  • Received:2011-10-08 Online:2012-05-01 Published:2012-07-18
  • Contact: Correspondence CUI Yun-peng, Tel: +86-10-82106265, Fax: +86-10-82109655, E-mail: cyunpeng@163.com
  • About author:CUI Yun-peng, Tel: +86-10-82106265, Fax: +86-10-82109655, E-mail: cyunpeng@163.com
  • Supported by:

    The research was supported by the Special Project, Ministry of Agriculture, China (2012-J-01).

摘要: The computer swine disease diagnosis is an important tool for swine farming industry, but the traditional expert system cannot meet the requirement of practical application. To improve the situation, a swine disease ontology is constructed, which can model the knowledge of swine disease diagnosis into a concept system, and a mechanism that can save the ontology into relational database is established, further more a computer system is developed to implement ontologybased swine disease diagnosis, so make the diagnosis results extended and more precise.

关键词: swine disease diagnosis, ontology, inference, knowledge base

Abstract: The computer swine disease diagnosis is an important tool for swine farming industry, but the traditional expert system cannot meet the requirement of practical application. To improve the situation, a swine disease ontology is constructed, which can model the knowledge of swine disease diagnosis into a concept system, and a mechanism that can save the ontology into relational database is established, further more a computer system is developed to implement ontologybased swine disease diagnosis, so make the diagnosis results extended and more precise.

Key words: swine disease diagnosis, ontology, inference, knowledge base