| With large numbers of Web services, Web service composition automaticallyenabling Web appreciation become a research hotspot, and with the continuousdevelopment of semantic technologies, semantic-based Web services composition isthe most popular method nowadays. Among them, network-based Web servicecomposition has made remarkable achievements, however, the Web servicecomposition which is based on the service network, still has the problem of lowefficiency and accuracy.This paper analyzes the layer structure of the semantic Service Network:parameter-level semantic relations, interface-level semantic relations, service-levelsemantic relations. Then an example of a combination of network-based algorithmaccuracy and found the lack of semantic Web service parameters context information,resulting in low rate accuracy of network-based Web service composition algorithm.To solve this problem, this paper extends the Web service parameters, adding fourkinds of parameter constraints and defines the matching relation between the kinds ofparameter constraints. In the extended service network, this paper also analyzes theinsufficient demand model of combination, and according to the expanded servicenetwork, combined demand model was extended to the original demand input andoutput parameters by adding context constraints information corresponding to the typeconstraint in the expanded service network. Finally, using service parameterconstraints to realize automatically Web service composition algorithm based on therealization expanded service network. Experimental results show that the proposedalgorithm can effectively improve Web service composition efficiency and accuracy.This paper also uses HTML5, JS technology to achieve the graphical display ofcombination results.In summary, this paper uses the expansion of the service network and theextended constraint information to design a constraint-based Web servicescomposition algorithm, improving the original semantic graph algorithm accuracy. |
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