| Abstract [eng] |
Efficiently finding Web services on the Web is a challenging issue in service-oriented computing. Currently, UDDI is a standard for publishing and discovery of Web services, and UDDI registries also provide keyword searches for Web services. However, the search functionality is very simple and fails to account for relationships between Web services. Firstly, users are overwhelmed by the huge number of irrelevant returned services. Due to the lack of semantic descriptions of the Web services, the results returned by registries are effectively inadequate. Semantic web services discovery based on what model of semantic registry is used and architecture of search algorithm. Semantic registry models according articles are based on UDDI registry XML elements mapping with the enhanced semantics such OWL or RDF ontology. Ontology describes the information domain about web services operation type, inputs and outputs. The search algorithm tries to find a match for user query inputs or outputs. Executing matchmaking method results the some sort similarity value by which can be decided what web service operation are more similar to users query parameters. To perform the investigation was needed to create a simple registry model enhanced with semantics mappings with OWL ontology and realize software that works with this model. To investigate search algorithm’s performance based on Greedy matchmaking method. The registry model was implemented in MySQL database. |
