A Semantic Web Services Query Optimization Method Based on Social Tagging

How to find web services quickly and accurately has become an urgent need. This paper presents a semantic web services query optimization method based on social tagging, under the guidance of the user behavior model for general service semantic of social tagging, a multidimensional-based social tagging method is proposed, it allows the user to tag the services from the perspectives of function attributes, non-functional attributes and contextual attributes of the services, recognizing the semantic annotation types of services, reducing the search scope and improving service query efficiency, Also FOAF(Friend of A Friend)-based social-semantic web community and social tagging ontology(STO) are established, Through the analysis of user attributes, tag attributes and service attributes and the relationship among them, the system will use the rule of ontology reasoning to find the web services to meet user demand, enhancing services searching of precision and completion. Finally, experimental analysis shows the feasibility and effectiveness of this method.