원문정보
초록
영어
Semantic Web services have emerged as the solution to the need for automating several aspects related to service-oriented architectures, such as service discovery and composition, and they are realized by combining Semantic Web technologies and Web service standards. The increasing number of available Web services has raised the need for their automated and accurate classification. Services Classification would be useful to enact powerful capabilities such as automatic selection, invocation, composition, location or discovery of web services. In this paper, We proposes a approach of Semantic Web Services classification taking into account the feature of textual description and the semantic annotations of OWL-S advertisements. An experimental test of the proposed techniques is reported, showing positive results, the efficiency and accuracy of the automatic service portfolio has been improved.
목차
1. Introduction
2. Related Works
3. Feature Selection based on Information Gain-C4.5
3.1. Information Gain
3.2. C4.5 Algorithm
3.3. Feature Selection based on Information gain-C4.5
4. Semantic Web Services Classification Approach based on IG-C4.5
5. Experiments and Analysis
5.1. Experimental Data
5.2. Evaluation Method
5.3. Results
5.4. The Performance Evaluation of the Algorithm We Proposed
6. Conclusion
References