Research On Semantic-based Web Services Discovery Technology

Due to good encapsulation,loose coupling,a high degree of cross-platform integration capabilities and other advantages,the application of Web Service on the network becomes more and more wide.However,the original architecture UDDI provides a syntax-level match.It is difficult to meet the needs of the requester.It is the Semantic Web who provids an opportunity in solving the problem of Web service discovery and match.Semantic web service discovery uses Ontology to add semantic information. Ontology can provide unified semantic description of Web Service.So Semantic Web Service can automatically completes the data transmission and interaction.It means that Web Service can understand each other’s the information content well.However,most of the Semantic Web Service Discovery algorithm is a matching algorithm based on logical reasoning.This algorithm has a big dvided grading.It is difficult to distinguish within the same class.An improved scheme is proposed in this thesis,the main work is as follows:(1)First,there is a general introduction about web service and semantic web.Then the thesis analysis the limitations of logical reasoning and gives the causes.(2)Binary relation is introduced in this thesis.And semantic distance and semantic similarity calculation are also introduced.So the improved matching algorithm can enhance the distinction within the same class.(3)The improved algorithm is divided into two parts:functional properties matching and non-functional properties matching.It means that the improved algorithm adds text matching besides10matching.(4)A experiment is designed with the data test set OWLS-TC.It can verify the feasibility and effectiveness of the improved algorithm in the proposed prototype system.The experiment results shows that the improved algorithm has higher recall and precision,it can support the automation of service discovery well.