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Research on Web Service Classification and Semantic Annotation Algorithm

Author: XuJinNa
Tutor: FengZhiYong
School: Tianjin University
Course: Applied Computer Technology
Keywords: Service clustering Classification of services Service marked
CLC: TP391.1
Type: Master's thesis
Year: 2010
Downloads: 96
Quote: 1
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Abstract


With a large number of Web services on the Internet , the importance of the automated processing of large - scale service management and Web services is increasing , there is an urgent need to build new SOA infrastructure system . Classification and semantic annotation of Web services is the key to building Web services infrastructure . Explore a Web service clustering method . Network reptiles Technology get real Web Internet service on the basis of the analysis of Web services features , extracting service criteria combined VSM modeling service , each service is represented as a feature vector , K medoids Web services clustering , generate clustering model . The service clustering support for the construction of the domain ontology and Web services automated classification . Protégé tool based on our understanding of the current state of knowledge of the field , and reference service clustering build domain ontology library . Domain ontology - based design Web service classification algorithm for automatic classification of Web services to be added to the service network , and select the appropriate areas of the service marked . Structural characteristics on the basis of a detailed comparison of the WSDL document and the domain ontology , a Web services automatic tagging algorithm , which laid the foundation based the semantic service network and service relationship mining . Marked the results back to the domain ontology , the ontology evolution . Experiments show that the method annotation accuracy higher . Automatically build in the summary of a service-oriented network , a service clustering , classification and labeling algorithms , and apply it to the service network , service network laid the foundation for semantic service discovery and automated service composition .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Text Processing
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