| Summary: | 碩士 === 國立成功大學 === 資訊管理研究所 === 92 === In recent years, with ontology prevailing over educational circles and industry application, like internet, one of the interesting issues is information highway is congested with considerable duplicate information. Even in enterprises or the same field, lots of difference ontology are operated simultaneously, the integration of information and system has already become one of the urgent important tasks. Then many researchers propose their methods to solve these problems form different viewpoint such as system, structure and procedure etc. In these methods, some prefer a single ontology as the result of combination, and others also construct the framework by a top-bottom procedure. Some shortcomings need improvement for these ways, nevertheless, for example, original resources are lost the autonomy, or operations depend on undue compromise actually. All of these might reduce benefit of integration.
Therefore, in order to avoid the side effect above-mentioned, We consults relevant researches of the past to improve the 「Ontology Clustering」 with the syntactic and semantic similarity measures, moreover, the main purpose is to ensure the accuracy in concept integration and avoid the information loss. Then, we design a local-view oriented searching method which can help communities obtain necessary knowledge in accordance with his interest and view to expand benefit of knowledge sharing.
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