Ontology-Based Deep Web Data Sources Selection

Many Web applications are all required high quality information from the Deep Web data sources at present. Such as the Deep Web data source discovering, the extract from query results, and the information integration of query results. They are the key technology in the process of Deep Web information integration. This paper proposes a data sources selection method based on domain ontology. It is used for finding the most relevant sets of query interface related to domain ontology, which is a premise for Deep Web information integration. This approach is based on the interface for its own features and the back-end database semantic. Therefore, it makes better performance than existing approaches.