Toward Medical Ontology using Natural Language Processing

نویسندگان

  • Eiji Aramaki
  • Takeshi Imai
  • Masayo Kashiwagi
  • Masayuki Kajino
  • Kengo Miyo
  • Kazuhiko Ohe
چکیده

In this paper, we introduce our project aiming to build a medical ontology, and also present a method to estimate term relations and term classification, which are the basic structure for the ontology. First, relations between medical terms are extracted from a medical electronic dictionary. Next, the terms are classified based on the co-occurrence verbs. Preliminary experimental results show the basic feasibility of our approach.

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تاریخ انتشار 2005