Earticle

초록

영어

Recently, two operable WSDL retrieval approaches, bipartite-graph matching and KbSM, were developed for Web service discovery. But their models and similarity metrics of WSDL ignore some term or semantic feature, and involve formal method problem of representation or difficulty of parameter verification. SLVM approaches depend on statistical term measures to implement XML document representation. Consequently, they ignore the lexical semantics and the relevant mutual information, leading to dataset analysis errors. This work proposed a service retrieval method, hybrid SLVM of WSDL, to address above problems in feature extraction. This method constructed a lexical semantic spectrum using WordNet for characterizing the lexical semantics, and built a special term spectrum based on TF-IDF. Then, feature matrix for WSDL representation was built on the hybrid SLVM. Applying to NWKNN algorithm, on dataset OWLS-TC-v2, our method achieves better F1 measure and query precisions than bipartite-graph matching and KbSM.

목차

Abstract
 1. Introduction
 2. Related Work
  2.1. WSDL Retrieval Approaches and SLVM
  2.2. The Analysis of WSDL Similarity Metrics
 3. Proposed Program
  3.1. Preliminary Conception and Theoretical Analysis
  3.2. Hybrid SLVM of WSDL
 4. Experiment and Result
  4.1 The Experiment
  4.2. The Result
 5. Conclusion
 Acknowledgements
 References

키워드

저자

• Luda Wang [ Xiangnan University, Chenzhou, China, School of Information Science and Engineering, Central South University, Changsha, China ]
• Peng Zhang [ Xiangnan University, Chenzhou, China ] Corresponding author
• Shouping Gao [ Xiangnan University, Chenzhou, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605