The Research And Application Of Semantic Web Services Discovery Technology

Emerging as web application web service is not only a new distributed computing model, but also an effective mechanism of data and information integration on the web, which aims to address the integration and sharing of data and applications on the heterogeneous platform. However, the limited description capacity of existing web service standards greatly restricts the automation and intelligence of web service discovery and composition. Introducing ontology and corresponding technologies into web service and making full use of the expression and description capacity will fundamentally solve the above problem.Following owl-s standards and in-depth research on semantic web service matching algorithm, the hybrid semantic distance concept is proposed to compute the semantic similarity between classes in ontology. By introducing the Levenshtein Distance algorithm and WordNet dictionary filtering mechanism the classic service matching algorithm is expanded and improved. On this basis semantic web service discovery engine is designed and implemented.This paper defines and describes automobile field knowledge with rich semantic relations and expression. Meanwhile the semantic web service discovery technology is applied into automobile supply chain system, and automatic order processing is implemented with created domain ontology, including: automatic order decomposition, supplier service discovery, service recommendation and so on, which will solve the problem of information heterogeneousness and business integration.In sum, semantic web service discovery technology is studied deeply and applied to automobile supply chain system. By analyzing the running results of automobile supply chain automated procurement system, the application prospects and practical significance of semantic web service discovery technology are proved.