한국지능시스템학회논문지 (Journal of the Korean Institute of Intelligent Systems)

  • 제19권3호
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  • Pages.363-370
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  • 2009
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  • 1976-9172(pISSN)
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  • 2288-2324(eISSN)
한국지능시스템학회 (Korean Institute of Intelligent Systems)
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워드넷과 구글에 기반한 온톨로지 개체의 일반화

Generalization of Ontology Instances Based on WordNet and Google

  • 강신재 (대구대학교 정보통신대학 컴퓨터.IT공학부) ;
  • 강인수 (경성대학교 멀티미디어대학 컴퓨터정보학부)
  • 투고 : 2008.11.14
  • 심사 : 2009.05.28
  • 발행 : 2009.06.25
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초록

본 논문은 온톨로지의 지식을 확장하기 위하여 웹 페이지 등 텍스트에서 추출된 온톨로지 개체(ontology instances)를 일반화하는 방법을 제시한다. 이를 위해서는 단어 의미 중의성 해소 과정이 필수적인데, 구글, 워드넷과 같은 오픈 API와 어휘 리소스를 이용하여 비교사학습 방법으로 해결하는 방법을 제안한다. 실험 결과 기존 연구에 비해 15.8%의 성능 향상을 얻을 수 있었다.

In order to populate ontology, this paper presents a generalization method of ontology instances, extracted from texts and web pages, by using unsupervised learning techniques for word sense disambiguation, which uses open APIs and lexical resources such as Google and WordNet. According to the experimental results, our method achieved a 15.8% improvement over the previous research.

키워드

참고문헌

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피인용 문헌

  1. Conflict Resolution of Patterns for Generating Linked Data From Tables vol.24, pp.3, 2014, https://doi.org/10.5391/JKIIS.2014.24.3.285