An Ontology-Based Semantic Expansion Search Model Using Semantic Condition Transform

Traditional Web Service search technology based on keyword is time consuming and inefficient. The search results are rather inaccurate. The essential reason is that description of Web Service lacks semantic information. Search Engines can't achieve the interaction automatically and intelligently among services. In this paper, we design and implement a SWSF-SP (Semantic Web Service Framework- Service Pool). Based on domain ontology, we introduce semantic condition expression converter which is designed to describe the SWS (Semantic Web Service) matchmaking condition and semantic expansion reasoning algorithm is applied to expand user's query keywords. The experimental results show that the SWSF-SP simplifies the process of SWS search. Moreover, the precision ratio and recall ratio are improved in comparison with traditional keyword search mode.