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Ontology-based semantic Web service matching technology

Author: YangGang
Tutor: LiShuZhi
School: Jiangxi University of Technology
Course: Applied Computer Technology
Keywords: Semantic Web Service Discovery Service Matching Noumenon Similarity
CLC: TP391.1
Type: Master's thesis
Year: 2010
Downloads: 230
Quote: 1
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Abstract


With service-oriented architecture (Service-Oriented Architecture, SOA) development and application, Web, more and more cross-platform, cross-language, scalable, reliable and safe service. When a service request, how to find on the Web-related services, upon request, quickly and automatically match is the motivation of the Semantic Web is proposed. Existing Web service matching mechanism is mainly based on keyword matching, lack of machine-understandable semantic information, making the service discovery recall rate, the precision rate is low, can not achieve intelligent search. Therefore, the introduction of machine-understandable semantic information based on semantics-based Web services to provide more accurate and more efficient matching algorithms and mechanisms to quickly find relevant web services become an urgent problem. To solve the above problem, the research made in this paper are as follows: (1) a more comprehensive introduction to the Web services and Semantic Web knowledge background and their latest developments. , Proposed an improved the ontology single concept similarity algorithm based on semantic similarity algorithm to the field of information studies. Weight allocation method proposed the algorithm and build the node path table after pretreatment inherit the relationships and attributes of the relationship between the body, combined with the semantic distance calculation algorithm given and construct a suitable similarity function can be efficiently and accurately calculate The similarity between the two body concept. Improved the body single concept similarity algorithm based on a classic concept in the field of information collection similarity algorithm, so that it can be applied to the matching of semantic Web services. The simulation results show that the algorithm improved match accuracy is superior to the improvement. (2) on the basis of the existing WSDL (Web Services Description Language) and OWL-S (Ontology Web Language for Services), a semantic-based two-dimensional model of Web service description, respectively, from the two levels of syntax and semantics attributes to describe a Web service. This model complements WSDL lack the semantic enhanced semantics of OWL-S provides a good foundation for semantic semantic-based Web service matching. On the basis of the concept in the ontology single similarity algorithm and the body more than the concept of similarity algorithm, based on the 2D Web services description model and service given matching strategy, design a semantic-based service matching model. In order to reduce the amount of computation of the similarity on unrelated services, in conjunction with the presentation of the similarity algorithm using a classification and matching mechanism to filter, can greatly improve the efficiency of Web service matching. (3) design and semantic Web service matching algorithm and verification system, and as described in OWL-S Profile document with a two-dimensional model of Web Services Description on the basis of the experimental material, verify the improved matching algorithm and design match the feasibility and effectiveness of the model has a good effect in the Web services precision, recall and to meet the service requestor requirements.

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