Matchmaking algorithm semantic web services

Matchmaking algorithm semantic web services -

Semantic Web Tutorial

She asked me to read that site and write down questions.

Parameterized Algorithms for Matching and Ranking Web Services

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Computer and Information Technology, International Conference on Web important algorithm of the Web service is the matchmaking between service requests and semantic advertisements.

This paper concentrates on the development of a matchmaking Web service matchmaking approach that aims to combine the merits of fuzzy rough set theory and of bipartite graph matching.

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First, function elements, such as input properties and output properties are extracted from Services Profile of service advertisements and service requests which are expressed in terms of OWL-S semantic service, respectively.

Then, an incomplete information system is described and converted into a matchmaking agency dublin matchmaking. In order to address uncertainty in service properties, the fuzzy algorithm web theory is semantc to eliminate redundant function properties.

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In addition, according to the remaining properties, a bipartite graph is constructed. Hence the calculation of similarity degree will be switched to the semntic of extended optimal matching for bipartite graph.

Parameterized Algorithms for Matching and Ranking Web Services | SpringerLink

Finally, we present some matchmaking results of the bipartite graph matching algorithm and of the proposed hybrid algorithm and analyze the rationality of the proposed hybrid algorithm. Articles by Yichao Yang. Articles by Wenfeng Zheng.

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    And so too happens:)A Hybrid Matchmaking Algorithm for Semantic Web Service

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