Personalized Service Research

With the development of semantic web techniques, ontologies have been used in more and more areas, but ontologies constructed by different users and organizations may differ from each other in form or structure, which leads to difficulty of ontology reusing and communication; meanwhile, it also blocks the research of ontology integration. The key to these problems is ontology mapping. There are many mapping methods, but most of them only focus on simple one to one mapping, while complex mapping is neglected, which results in a low mapping accuracy. This thesis is mainly aiming the problem of discovering of complex mappings between different ontologies.Firstly, the thesis introduces the sources of this thesis and Semantic web. Because of the distributing of Web, different users and organizations design their own ontologies, which leads to ontology heterogeneity, blocking the reuse and communication of ontologies. Current mapping methods only stress the one to one mapping, ignoring the problem of complex mapping, causing a low accuracy of ontology mapping results. In order to solve the problem this thesis proposed an effective complex mapping discovery method.Secondly, according to different relationships between the concepts in complex mapping, a new complex mapping method proposed based on the relationships, and different discovery technology and similarity computation methods are adopted for different relationships.Finally, based on the research above, the key technique problems are solved, related algorithms are designed and implemented; moreover, experiments are carried out and the results are evaluated. The results show that our approaches are comparatively good.