Research On Model And Algorithm Of Semantic Web Information Service Discovery

Under the background in the era of big data, changes have taken place in the environment of Web information service, the number of information resources growing exponentially, and generate a lot of redundant data and unstructured data. How to effectively found from massive Web information service needs of users, how to effectively organize the Web information resources to meet the demand of users, has become the hot topics in the study of domestic and foreign researchers.Web information service discovery technology is the core of the Web information service application, and found that the traditional Web information service is based on UDDI technical service matching mechanism, UDDI lack of semantic description of Web information, based on the classification and keyword query service, so as to make the recall ratio and precision is not high. To solve above problems, this paper presents a semantic Web information service discovery model based on ontology, uses OWL-S to increase semantic description of Web information resources, at the same time introducing the ontology theory, matching algorithm to optimize the information service, to improve the efficiency of Web information service discovery.In Web information service discovery, service matching algorithm is a key link, it directly affects the Web information service found that the result is good or bad. In this paper, after studying the multiple matching algorithm based on semantic Web information service, puts forward the service matching algorithm based on weighted semantic distance, similarity between computational domain ontology concept process does not use the shortest distance to calculate, but the semantic distance using the weighted average of the strategy, concept of considering the shortest distance between nodes, total depth, relative depth and recent public factor the influence of the parent node, this algorithm can make service matching similarity calculation more accurate, so as to improve the performance of Web information service matching.Finally, in this article, through an example demonstrates the process of construction of domain ontology, and Web information service based on the semantic association between logical reasoning process.