• DocumentCode
    3185179
  • Title

    Apply Fuzzy Formal Concept Analysis on frequently asked question system

  • Author

    Chen, Rung Ching ; Cho Tsan Bau ; Lu, Wei Ming ; Lin, Yu Shuang

  • Author_Institution
    Dept. of Inf. Manage., Chaoyang Univ. of Techology, Taichung, Taiwan
  • fYear
    2010
  • fDate
    10-13 Oct. 2010
  • Firstpage
    127
  • Lastpage
    134
  • Abstract
    Many FAQ (Frequently Asked Questions) systems have been proposed on the Internet. Users can easily obtain the information what they need, but they still have to read and organize those documents by themselves. However, they read the same contents from website in spite of men or women, elders or children. For different patients of diabetes, if a FAQ system can return personal health nursing documents that will be better. According the Department of Health Executive Yuan R.O.C. (Taiwan) to the recent statistics, most of patients lack chronic disease knowledge (e.g. diabetes, hypertension). Hospitals preach patients the knowledge of taking care of chronic disease. The knowledge can be shown by a narrator of the medical personnel, books, website to quickly help patients. However, the return of FAQ website information is fix to the users´ questions. In this paper, we will set up a FAQ system based on domain ontology for diabetes health education documents and use FFCA (Fuzzy Formal Concept Analysis) method to help diabetic patients to get education documents. The primary experiments prove that our method is preciously to get users requirement documents.
  • Keywords
    Internet; biomedical education; diseases; document handling; fuzzy reasoning; information resources; medical information systems; ontologies (artificial intelligence); FAQ; FFCA; Internet; chronic disease knowledge; diabetes health education documents; domain ontology; frequently asked question system; fuzzy formal concept analysis; personal health documents; Diabetes; Education; Insulin; Irrigation; Pediatrics; US Department of Energy; Diabetes; Frequently Asked Questions; Fuzzy Formal Concept Analysis; Ontology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems Man and Cybernetics (SMC), 2010 IEEE International Conference on
  • Conference_Location
    Istanbul
  • ISSN
    1062-922X
  • Print_ISBN
    978-1-4244-6586-6
  • Type

    conf

  • DOI
    10.1109/ICSMC.2010.5642218
  • Filename
    5642218