期刊名称：International Journal of Multimedia and Ubiquitous Engineering
印刷版ISSN：1975-0080
出版年度：2016
卷号：11
期号：8
页码：345-358
出版社：SERSC
摘要：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
关键词：WSDL Retrieval; Web S;ervice; SLVM; Lexical Semantics
