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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/74420

    Title: 基於多本體論的知識管理系統
    Other Titles: Knowledge management based on multiple ontology
    Authors: 蘇俊翰;Su, Chun-Han
    Contributors: 淡江大學資訊管理學系碩士班
    梁德昭;Liang, Te-Chao
    Keywords: 知識管理;本體論;協同編輯;Knowledge Management;Ontology;Collaborative Editing
    Date: 2011
    Issue Date: 2011-12-28 18:36:08 (UTC+8)
    Abstract: 本體論,是討論存有的一種理論。亦可對存在的事物做分類。事物描述後變成資訊,資訊處理分類便成為知識。知識被管理後可更有效地存取,這就稱為知識管理。
    Ontology is a theory which discusses existence. It also categorizes existing subjects. The knowledge of a given subject is conducted by the information that describing the subject. Knowledge can be managed so that it can be obtained efficiently and effectively and is called Knowledge Management.
    Ontology can categorize entities and their relations. On the other hand, Knowledge Management needs to categorize information what we collected. As users need to know something about some subjects, they can learn a specific knowledge domain via the classification and description of corresponding ontology combined with Knowledge Management. However, a knowledge domain usually exist many aspects but most Knowledge Management focus on single ontology only. A single ontology cannot show the multi-facet of knowledge domain. In order to represent a knowledge domain with many different aspects, multi-ontology has to be employed to depict the knowledge domains. Therefore, in this research we build a Knowledge Management based on Multiple Ontology. Users create ontology in XML form, and collaboratively create a Knowledge Management platform which is rich as well as multi-ontology. Users thus can offer searching conditions among different ontology to obtain the knowledge they need.
    In this research, Chinese Herbology is served as the illustration knowledge domain for demonstrating of the proposed multi-ontology Knowledge Management platform. Every herbal has different categorical aspects and will be constructed in different ontology. Finally, we will make a AND searching to show the multi-facet of knowledge domain.
    Appears in Collections:[Graduate Institute & Department of Information Management] Thesis

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