A vector space search engine for Web services

Abstract

As Web services increasingly become important in dis-

Automatic Web Service Tagging Using Machine Learning and WordNet Synsets

“…The vector space model is used for service retrieval in several existing works as in [23,28,6]. Terms are extracted from every WSDL file and the vectors are built for each service.…”

Construction and Application of Learning Petri Net

“…UDDI (Universal Description, Discovery and Integration) is widely used as a kind of discovery approach for functional evaluation. But, as the number of published Web services increases, discovering proper services using the limited description provided by the UDDI standard becomes difficult [17]. And UDDI cannot provide the QoS information of service.…”

Searching Repositories of Web Application Models

“…Agora [23] is a search engine based on JavaBeans and CORBA technologies that automatically generates and indexes a worldwide database of software artifacts, classified by component model. In the context of SOA, Dustdar et al [22] propose a method for the discovery of Web services based on a Vector Space Model characterization of their properties, indexed in a search engine. The work in [15] proposes a graph-representation model of a software component library, based on analyzing actual usage relations of the components and propagating a significance score through such links.…”