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Designing a top-level ontology of human beings: A multi-perspective approach

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Abstract

Knowledge about human beings is an integral part of any intelligent agent of considerable significance. Delimiting, modeling and acquiring such knowledge are the central topics of this paper. Because of the tremendous complexity in knowledge of human beings we introduce a top-level ontology of human beings from the perspectives of psychology, sociology, physiology and pathology. This ontology is not only an explicit conceptualization of human beings, but also an efficient way of acquiring and organizing relevant knowledge.

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Correspondence to Tian Wen.

Additional information

This work is supported by the Chinese Academy of Sciences (Grant No#2000-4010), the National Natural Science Foundation of China (Grant No.#20010010-A), and the Ministry of Science and Technology of China (Grant No.#2001CCA03000).

TIAN Wen is a Ph.D. candidate of the Institute of Computing Technology, the Chinese Academy of Sciences Her main research interests include knowledge modeling, knowledge acquisition, knowledge-based system, ontological engineering and common sense knowledge. She received her B.S. degree in computer science in 1997, and her M.S. degree in data mining in 2000, both from the Department of Computer Science, Yunnan University.

GU Fang is a Ph.D. candidate of the Institute of Computing Technology, the Chinese Academy of Sciences. Her main research interests include knowledge modeling knowledge acquisition, knowledge-based system, and ontological engineering. She received her B.S. degree in computer science in 1997, and her M.S. degree in distance learning in 2000, both from the Department of Computer Science, Shandong Normal University.

CAO Cungen is a professor and Ph.D. advisor of the Institute of Computing Technology (ICT), Chinese Academy of Sciences (CAS). His major research interests are knowledge acquisition and sharing.

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Tian, W., Gu, F. & Cao, C. Designing a top-level ontology of human beings: A multi-perspective approach. J. Comput. Sci. & Technol. 17, 636–656 (2002). https://doi.org/10.1007/BF02948831

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