An Ontology-based Approach Toward Knowledge Base System in Classification of Virus

• Main Authors: Ying-Hao Huang, 黃盈豪
• Other Authors: Tong-An Hsu
• Format: Others
• Language: zh-TW
• Published: 2008
• Online Access: http://ndltd.ncl.edu.tw/handle/63421118425756372757

碩士 === 中原大學 === 資訊管理研究所 === 96 === Semantic Web was pushing the development of the internet forward. Semantic web can distinction the meaning of vocabulary and use ontology of knowledge structure can be correct discrimination the meaning in term. Therefore, user can integrates the information and reason the result by the rule of semantic web and ontology. Ontology system development can be viewed as a transformation from perceptions of a real-world system to a working information system which is a representation of the real system. Ontology building requires a set of engineering processes that include knowledge acquisition, knowledge modeling, and knowledge representation. It is difficult to classify the knowledge by artificial in the past. Therefore, this study proposed the ontology combine with machine learning that can detection and search the computer virus. Knowledge engineers collect the characters of the computer viruses, then make in imitation of human learning through the computer which can generate the knowledge hierarchical structure of computer viruses. This method can model the knowledge structure of ontology quickly and conveniently. Knowledge engineers refer to the hierarchical structure and build the ontology of this domain. Finally, according to the advantage of ontology, manager can infer the hidden relationship of computer virus by SWRL and provide the solution to users.