Journal of the Korean Institute of Intelligent Systems (한국지능시스템학회논문지)

Korean Institute of Intelligent Systems (한국지능시스템학회)
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Construction of a Knowledge Schema for Food Additive Information Using Ontology

온톨로지를 이용한 식품첨가물 정보 지식의 구축

  • Kim, Eun-Kyoung (Department of Computer Science and Engineering Research Institute(ERI), Gyeongsang National University) ;
  • Kim, Yong-Gi (Department of Computer Science and Engineering Research Institute(ERI), Gyeongsang National University)
  • 김은경 (경상대학교 컴퓨터과학과 및 공학연구원) ;
  • 김용기 (경상대학교 컴퓨터과학과 및 공학연구원)
  • Received : 2016.08.23
  • Accepted : 2017.01.23
  • Published : 2017.02.25
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Abstract

Studies for efficient information retrieval and reuse of information resources using the ontology techniques are being in progress in various fields. In this paper, we build an ontology to provide a food additive information for consumers given by the KFDA and food safety information portal. Food additives were represented in OWL based knowledge using $Prot{\acute{e}}g{\acute{e}}$. We defined Class, Property, Relationships for providing food additives names, origins, purposes and basic information. In order to retrieve the information of the food additive, we built 679 instances with an ontology, and confirmed the results through DL Query queries. We can expect that the food additives ontology shown in this paper will help the integration and improvement of the information retrieval systems of the related fields in future.

다양한 분야에서 온톨로지 기술을 이용하여 효율적인 정보 검색과 정보자원을 재사용을 위한 연구가 진행되고 있다. 본 논문에서는 식품의약품안전처와 식품안전정보포털에서 제공하는 식품첨가물 정보를 소비자에게 제공하기 위한 온톨로지를 구축하였다. 식품첨가물은 $Prot{\acute{e}}g{\acute{e}}$를 이용하여 OWL(Web Ontology Language)기반의 지식으로 표현하였다. 식품첨가물명, 기원, 목적, 기본정보를 제공하기 위한 클래스, 속성, 관계를 정의하였다. 구축한 온톨로지를 이용하여 식품첨가물의 정보를 검색하기 위해 679개의 인스턴스를 구축하고 DL Query 질의를 통하여 결과를 확인하였다. 본 논문에서 보이는 식품첨가물 온톨로지를 이용하면 향후 관련 분야의 정보 검색 시스템 통합 및 개선에 있어서 도움이 될 수 있을 것이라 기대한다.

Keywords

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