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Research on Discovery of Semantic Web Service Based on P2P

Author: LvJinLi
Tutor: YuXueLi
School: Taiyuan University of Technology
Course: Computer Software and Theory
Keywords: Semantic Web Service Discovery OWL-S Chord Inference rules Service Matching
CLC: TP391.1
Type: Master's thesis
Year: 2010
Downloads: 73
Quote: 0
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Abstract


With the rapid development of network technology, a large number of Web services are deployed in different operating platforms. How to discover and invoke these services is the research focus of the academic and business communities. The business community famous centralized Web service discovery mechanism exists the problem of lack of semantic support, prone to the single point of failure. For the problem of the lack of semantic support, many researchers Semantic Web technologies introduced in the Web services, UDDI add semantic information to achieve semantic Web service discovery. In order to solve the single point of failure found by the centralized Web, information overload, service failure such issues, proposed on the basis of the research Chord P2P-based Semantic Web service discovery framework. P2P network by a three-tier the Chord structure of the regional community, service to the community, interested in serving the community composition, and the clustering method and a hash function will hash to the service description Chord. This article discusses the semantic Web service discovery-related technology and the existing problems, and use OWL to describe services shared ontology and service sector body, using OWL-S to describe the service information, OWL-S Profile conducted a Quality of Service describes the expansion, in order to improve service discovery recall rate and precision. Combined with OWLS-MX matching algorithm, this paper proposes a service matching mechanism based service functional and non-functional three-stage and three-stage query algorithms. Semantic matching services match the functionality primarily based on the service request input and output parameters, the matching process is the first keyword matching, and reduce the number of service candidates, including context matching, custom inference rules match. Service non-functional match is selectable by the user, matching the supplementary service functionality, wherein the quality of service characteristics matching can perform keyword matching and semantic matching. The three-phase service query algorithms, including interest in positioning geographical communities query algorithm, positioning to service communities query algorithms and interest in serving the community range query algorithm, three-stage query algorithm can protect the user requests a service query time. Finally, we study the semantic Web service discovery framework the ontology library modules and framework underlying Chord network and framework for performance analysis of recall and precision, the query time, the results show that the semantic Web service discovery mechanism a higher service discovery performance.

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