SAWSDL Based Semantic Web Service Discovery And Implementation Of Technology

With promotion-depth research and application of Web services technology, the Internet now has a Web services provide a large number of different applications. With the passage of time, the number of services continues to rapidly increase. And how fast and efficient service required by the user to become an urgent problem. Traditional service discovery mechanism based on WSDL (Web Services Description Language) and UDDI (Universal Description, Discovery and Integration), is based on keyword matching, semantic information is missing, the service discovery process requires the participation of people, and low efficiency. Therefore, after the study that the introduction of the Semantic Web and ontology, Web services and Web services to extract and add semantic information, Web services found to be able to carry out automatic and intelligent. Which, for the formal description of Semantic Web Services, is the basis of service discovery. Semantic Web service description language such as OWL-S (Ontology Web Language for Services), WSMO (Web Service Modeling Ontology), WSDL-S (Web Service Semantics) and SAWSDL (Semantic Annotations for WSDL and XML Schema). SAWSDL recommendation of the W3C organization which evolved from WSDL-S, at the same time reduce the OWL-S and WSMO the heterogeneous semantic processing mechanism is a lightweight, low-coupling description, this paper, this service semantic annotation and description.Semantic Web service discovery technology for service discovery the indexing mechanism mainly ideologically in the index table, while ignoring the presence of the Semantic Web Services rely semantic ontology structure. Semantic similarity, whether it is based on the semantic distance or amount of information theory, ignore the element of depth domain ontology structure and density of the development of the field of knowledge.In response to these issues, this paper is based on domain ontology extension of the structure and hierarchy and density structure of the domain ontology-based semantic similarity algorithm so that it can be more truly reflect the the ontology conceptual distinction between degrees and Web services between similarity. The work includes:Semantic Web Services Research, Problems. This article relates to the technology introduced in detail, including Web services, the Semantic Web, Ontology, and SAWSDL semantic annotation mechanism.Secondly, the paper proposed based on the extension of the domain ontology structure. The extended structure is divided into two parts:1) Ontology concept of service-based clustering index construction method. The main design idea is the concept of the domain ontology add input/output services collection attributes, each attribute corresponds to a collection of information, store this concept for input/output of the service information. Found performing the services, will be able to input or output ontology concept as index positioning optional service set narrow set of services matching calculation scale.2) the domain ontology-based curing over weight attribute extensions. Based on the relative stability characteristics of the domain ontology (ie:domain ontology, defined by the experts in the field, change and low frequency), extended the concept nodes curing weight attribute weight edge between the concept of value is stored in this property, weight value updates only the only change in the structure of domain ontology.Then proposed a hierarchy and density structure of the domain ontology-based semantic similarity calculation method. The algorithm analyzes the hierarchy and density structure of the differences in the structure of domain ontology semantic similarity calculation method designed accordingly. The algorithm combines semantic distance and the amount of information thought, taking into account the impact of the depth asymmetry factor of semantic distance. After that, based on the calculation method of the semantic similarity and domain ontology extended structure, design services discovery algorithm.Finally, based on this paper, service discovery algorithms built experiment platform, and experimental test set of services through SAWSDL-TC, the experimental results show that the services proposed in this paper found that the algorithm can effectively improve the efficiency and effectiveness of service discovery.