원문정보
보안공학연구지원센터(IJUNESST)
International Journal of u- and e- Service, Science and Technology
Vol.7 No.5
2014.10
pp.51-62
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
Services can be described by their semantics to improve the precision of services discovery. OWL-S describes services semantic by their inputs, outputs, precondition and effects. In the frame of OWL-S, domain ontology concepts are used to describe the semantic of inputs, outputs, precondition and effects of a service in this paper. A service rank algorithm based on the semantic similarity of ontology concepts is introduced, and a travel service discovery example shows the algorithm is effective.
목차
Abstract
1. Introduction
2. Semantic Similarity Calculation of Service Parameters
2.1. Semantic Distance between Concepts
2.2. Semantic Similarity between Concepts
2.3 The Similarity of Service Parameters
3. Service Match based on the Similarity of Service Parameters
4. Example of Service Match
5. Related Work
Acknowledgements
References
1. Introduction
2. Semantic Similarity Calculation of Service Parameters
2.1. Semantic Distance between Concepts
2.2. Semantic Similarity between Concepts
2.3 The Similarity of Service Parameters
3. Service Match based on the Similarity of Service Parameters
4. Example of Service Match
5. Related Work
Acknowledgements
References
저자정보
참고문헌
자료제공 : 네이버학술정보