Semantic web service matching method and system

Abstract

The invention discloses a matching method of semantic WEB service and a system thereof. Based on similarity between request and candidate service, the matching method and the system synthetically consider functional and non-functional factors, and introduce a phasing filtering mechanism. The matching method and the system adopt single-concept semantic matching algorithm, take depth, inheritance relation and binary relation into full account so that a body relationship structure is formed into a graphic structure rather than a tree-shaped structure, and the multiple inheritance problems and loop problems are processed during calculation of semantic distance based on the graph. The adopted multi-concept semantic matching algorithm has introduced a processing of repeated matching. During input and output matching, the number of parameters are taken into account, a method for calculating similarity in three levels is adopted, therefore,, the matching is more efficient; and the matching method and the system also takes into account factors of user preferences and service quality, therefore, the precision of matching and efficiency of response can be further improved.

Description

Semantic Web Service Matching Method and System technical field The invention relates to the field of Semantic Web Service (SWS), in particular to a matching method and system for Semantic Web Service. Background technique In the prior art, there are mainly the following methods for semantic matching of Web services: Method 1: Documents [1, 2, 3, 4, 5] use OWL-S (Ontology Web Language for Services) to divide the service matching degree into four types according to the input and output matching of the request and the service: exact match, insertion match, inclusion match and non-existence match. match. The matching between service requests and candidate services depends on the matching between all their outputs and inputs. The matching between each output or input depends on the inclusion relationship between their concepts. The accuracy and efficiency of this method are very high, but the degree of service matching within the same level cannot be more finely differenti...

AI Technical Summary

Problems solved by technology

In view of this, one of the purposes of the present invention is to provide a semantic Web service matching method, which solves the problem of inability to distinguish the degree of service matching within the same level in the prior art, and the accuracy and recall of service matching. The technical problem such as low rate, for realizing the purpose of the invention, the present invention adopts following technical scheme:

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