Semantic similarity has attracted great concern for a long time in artificial intelligence, psychology and cognitive science. In recent years the measures based on WordNet have shown its talents and attracted great concern. Many measures have been proposed. The paper contains a review of the state of art measures, including path based measures, information based measures, feature based measures and hybrid measures. The features, performance, advantages, disadvantages and related issues of different measures are discussed. Finally the area of future research is described..
목차
Abstract 1. Introduction 2. WordNet 3. Semantic Similarity Measures based on WordNet 3.1. Path-based Measures 3.2. Information Content-based Measure 3.3. Feature-based Measure 3.4. Hybrid Measure 4. Comparison and Evaluation 5. Summary References
키워드
semantic similaritypath-based measuresinformation based measuresfeature based measureshybrid measuresWordNet
저자
Lingling Meng [ Computer Science and Technology Department, Department of Educational Information Technology, East China Normal University ]
Runqing Huang [ Shanghai Municipal People's Government ]
Junzhong Gu [ Computer Science and Technology Department, East China Normal University ]
보안공학연구지원센터(IJHIT) [Science & Engineering Research Support Center, Republic of Korea(IJHIT)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Hybrid Information Technology
간기
격월간
pISSN
1738-9968
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Hybrid Information Technology Vol.6 No.1