Research On Multi-Strategy Ontology Mapping Based On WordNet

With the rise of the Internet, ontology technology is applied to many areas, such as knowledge sharing, knowledge integration and so on.. Ontology as a shared semantic based concept representation model, the building has not yet a unified standard, so it is easy to appear the presence of a large number of heterogeneous ontologies in the same field in. However, due to the existence of heterogeneous ontologies, the sharing and integration of knowledge can not be smoothly carried out.Use the tool of ontology, can complete the knowledge sharing and interaction, this paper presents a can accurately find the heterogeneous ontologies to each other the semantic relation of ontology mapping method based on Multi Strategy. This algorithm can not only be accurate, but also can find the mapping relationship between heterogeneous ontologies efficiently and efficiently.. Firstly, based on the semantic dictionary Word Net studied the characteristics of ontology information, think through the calculation of the total path number to design the semantic similarity algorithm, then proposed a new semantic similarity computation method, to pave the way for Multi Strategy ontology mapping, after experimental verification the algorithm to achieve the desired effect; then using several ontology conceptual information, such as the name of the concept of information, attribute information, case information and structure information and integrate them a Multi Strategy ontology mapping algorithm is proposed, by experiment to improve the accuracy of ontology mapping.Experiments to test the proposed algorithm is effective, the international organization of ontology mapping ontology mapping use case as the test data, calculate precision, recall and F value was evaluated. The experimental results show that the new ontology mapping algorithm can improve the heterogeneous ontology mapping accuracy.