Title :
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
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;
Conference_Titel :
Service-Oriented System Engineering, 2005. SOSE 2005. IEEE International Workshop
Print_ISBN :
0-7695-2438-9
DOI :
10.1109/SOSE.2005.42
