Journal of KIISE:Databases (한국정보과학회논문지:데이타베이스)

Korean Institute of Information Scientists and Engineers (한국정보과학회)
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An Ontology Population Model based on ISO/IEC 11179

ISO/IEC 11179 기반의 온톨로지 확장 모델

  • Published : 2009.10.15
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Abstract

This paper proposes an ontology population model based on ISO/IEC 11179. Much research has recently been done on harmonizing Web 2.0 and the Semantic Web, and the harmonization is defined as Web 3.0. The most important issues for realizing Web 3.0 include defining ontology schemas and populating instances for ontologies. To resolve the issue, Web ontology schemas should be precisely defined, and a method for populating Web ontology from Web resources should be developed. This paper proposes a Web ontology population model based on ISO/IEC 11179 - Metadata Registry (MDR), which is the international standard, developed to manage and use common standard concepts.

이 논문에서는 ISO/IEC 11179 기반의 온톨로지 확장 모델을 제안한다. 시맨틱 웹과 웹 2.0의 결합을 위한 많은 연구가 진행되고 있으며, 이를 웹 3.0으로 정의하고 있다. 웹 3.0을 구현하기 위한 가장 중요한 이슈는 온톨로지 스키마를 정의하고 온톨로지를 위한 인스턴스를 확장하는 것이다. 이를 위해서는 먼저 온톨로지 스키마를 보다 정확하게 정의하여야 하며 웹 자원으로부터 온톨로지를 보다 풍부하게 확장할 수 있는 방법이 개발되어야 한다. 이 논문에서는 표준화 된 공통 개념을 이용하고 관리하기 위해 개발된 국제 표준인 ISO/IEC 11179-메타데이터 레지스트리(Metadata Registry, MDR) 기반의 웹 온톨로지 확장 모델을 제안한다.

Keywords

References

  1. J. Hendler, 'Web 3.0 Emerging,' Journal of Computer, vol.42, no.1, pp.111-113, Jan. 2009 https://doi.org/10.1109/MC.2009.30
  2. T. Berners-Lee, 'The World Wide Web: Past, Present and Future,' IEEE Computer Magazine, vol.29, no.10, pp.69-77, Oct. 1996 https://doi.org/10.1109/2.539724
  3. A. Gomez-Perez and O. Corcho, 'Ontology Languages for the Semantic Web,' Journal of IEEE Computer Society, vol.l7, no.1, pp.54-60, Feb. 2002 https://doi.org/10.1109/5254.988453
  4. World Wide Web Consortium, http://www.w3.org/, 2009
  5. W3C, Resource Description Framework, http://www.w3.org/RDF/, 2009
  6. W3C, Web Ontology Language, http://www.w3.org/2004/OWL/, 2009
  7. Iena Semantic Web Framework, http://jena.sourceforge.net/, 2009
  8. The Protege Ontology Editor and Knowledge Acquisition System, http://protege.stanford.edu/,2009
  9. S.G. Oh, 'Designing a Metadata Registry Using Semantic Web Technology,' Journal of LISS, vol.36, no.3, pp.109-136, Sep. 2005. (in Korean)
  10. D.-K Baik, 'MDR:MetaData Registry,' Journal of TTA, vol. 2000, no.71 , Oct. 2000. (in Korean)
  11. METeOR, Australian Institute of Health and Welfare, http://meteor.aihw.gov.au/, 2009
  12. ICIS CIHI, Canadian Institute for Health Information, http://secure.cihi.calddextemal/welcome.do, 2009
  13. NCICB: Cancer Data Standards Registry and Repository(caDSR), US National Cancer Institute, http://ncicb.nci.nih.gov/NCICB/infrastructure/cacore_overview/cadsr, 2009
  14. Data Registry Services, US Environmental Protection Agency, http://www.epa.gov/edr/, 2009
  15. United States Healthcare Information Knowledgebase, US Health organizations, http://ushik.ahrq.gov, 2009
  16. National Information Exchange Model, U.S. Department of Homeland Security (DHS) and U.S. Department of Justice (DOJ), http://www.niem.gov/, 2009
  17. Global Justice XML, US Department of Justice, http://www.it.ojp.gov/topic.jsp?topic_id=43. 2009
  18. D. Jeong, J.-D. Kim, J. Son, J. Kim, and D.-K Baik, 'A Study on Creation of Web Ontology based on the Metadata Registry for the Semantic Web,' Proc. of the 2008 KSCI Winter Conference, vol.16, no.2, pp.19-24, Jan. 2009. (in Korean)
  19. Univ-bench Ontology, Lehigh University, http://www.lehigh.edu/zhp2/2004/040l/univ-bench.owl, 2009
  20. H. Jeong, D.-K.Baik, and D. Jeong, 'Web Ontology Learning and Population Model using Structured Data Based on MDR,' Proc. of the 2009 KITS Spring Conference, pp.393-396, May. 2009. (in Korean)