Management And Discovery Research Of The Semantic Web Services Based On Concept Lattice

With the development and application of web service technology, the higher recall rate and precision of the semantic web service has become the current research focus. How to match efficiently and find the services to satisfy customers'demands are the foundation of realizing the combination of services, such as orchestration and horeography, The shortcomings of existing method UDDI in searching web services based on keywords and category,and that of matching information of services those can not be managed and shared effectively, make the management of web services difficult to meet the actual application needs. To enable web services management more suitable to the actual application needs and improve the recalling rate, precision and decrease the service's response time, based on studying the characteristics of related web service and previous research, this paper studied deeply in the following aspects of web services:formalized definition of web services and service requests, organization and management of web services, retrieval algorithm of web services. It puts forward web service management and retrieval models based on formal concept analysis and uses the relevant method of web service matching technology and concept lattice to find rapidly the web services to satisfy completely the application demands of users. The main works in this thesis includes the following aspects:1. First, this paper proposes a semantic web service model and a web service management method based on the semantic web service lattice. The important information of service are extracted and the potential semantic relationships among web services are discovered based on the service-related documents. It builds the web service lattice based on categories of service industries by introducing the service domain ontology for formalization describing and analyzing of service information and the services relationships.2. Then, on the basis of analyzing the characteristics of concept lattice,this paper gives the similarity calculation method of service according to the number of web services is massive and the increasingly. The same or similar web services are reducted, and the size of web service lattice is cut down by this way. It reduces simultaneously the maintenance costs of the web service lattice. The experimental results show that the retrieve efficiency and semantic web service lattice's maintenance efficiency have been greatly improved based on the web service lattice model.3. Next, we proposes the semantic retrieve algorithm based on semantic web service lattice. By analyzing the relationship among lattice nodes, it gives the formal description of service requisition and retrieve algorithm of web services and service methods based on semantic web service lattice. The experimental result shows that the retrieve algorithm was effective.4. Later, after analysing the features of combination of web services, and extending the traditional concept lattice theory, we propose the concept of service requirement lattice. We introduce the idea of service agent initiatively gather to service requirements, and the information of web services gathered are managed by the service requirements lattice. Meanwhile, the service requirement lattice construction method is given on the basis of the formalization of service demands, desired service and formal background of service requirements.5. Finally, it gives the discovery algorithm of web services based on service requirements lattice. The services in service requirements lattic are matched firstly when the new service requirements is submitted, and thus the candidate web services those meet the service requirements can be quickly founded. At last, a simulation result verifies that the management model based on service requirements lattice is comparatively feasible.