The Use of Semantic Web Technologies for Data Fusion

Data fusion techniques combine raw data of multiple sources and gather related information to achieve more specific inferences than could be achieved by using a single source. In the fusion research community, JDL is a common model, but it suffers from semantics issues. Using Semantic Web (SW) technologies for the extraction of implicit knowledge is a new approach to overcome this problem. SW technologies purpose to describe and represent the semantics related with data or information in order to facilitate automatic processing, integration, sharing and reuse of the data. So in this paper, a semantic fusion model is proposed based on JDL, which can overcome the semantic problems in heterogeneous systems by using SW technologies including ontology and semantic reasoning. Finally, military scenario is designed and implemented to display the functionality of the proposed model practically. In implementation, Jena framework was utilized for semantic programming to describe ontology and have a semantic reasoner.