Web services searching based on domain ontology

Author

Bin, Xu ; Yan, Wang ; Po, Zhang ; JuanZi, Li

Author_Institution

Dept. of Comput. Sci., Tsinghua Univ., Beijing, China

fYear

2005

fDate

20-21 Oct. 2005

Firstpage

51

Lastpage

55

Abstract

Searching proper Web services is the basic step to composite Web services into applications. Current searching in UDDI servers is based on taxonomy and tModel, which is not convenient to find domain related Web services. In this paper, we propose a method to search Web services based on domain ontology. Firstly the WSDL crawler collects the WSDL files from the Internet resources like Google, Baidu and XMethods as much as possible. Secondly ontology is used to represent the domain, such as travel ontology. Thirdly a support vector machine (SVM) classifier is constructed to select the domain WSDL files from the collected WSDL files; domain vector is built according to the domain ontology, and features are extracted from WSDL files to train the SVM classifier. Finally we evaluate the method through experiment and show that the method is effective.

Keywords

Internet; ontologies (artificial intelligence); support vector machines; Internet resource; UDDI server; WSDL file crawler; Web service description language; Web service searching; composite Web service; domain ontology; feature extraction; support vector machine; travel ontology; Application software; Computer science; Crawlers; Feature extraction; Internet; Ontologies; Support vector machine classification; Support vector machines; Taxonomy; Web services;

fLanguage

English

Publisher

ieee

Conference_Titel

Service-Oriented System Engineering, 2005. SOSE 2005. IEEE International Workshop

Print_ISBN

0-7695-2438-9

Type

conf

DOI

10.1109/SOSE.2005.42

Filename

1551129