Earticle

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

Abstract
 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

키워드

저자

• Chaokai He [ School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China ]
• Meng Wu [ College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605