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�������պ����ѧѧ�� 2009, Vol. 35 Issue (10) :1254-1257    DOI:
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�� ��1, �� ³1, �� ��1, ���׶�2*
1. �������պ����ѧ ���ù���ѧԺ, ���� 100191;
2. �������պ����ѧ ����ϵͳ����ϵ, ���� 100191
Approach to expert recommendation with multiple knowledge areas based on fuzzy text categorization
Li Ming1, Liu Lu1, Wang Jun1, Huang Zhaodong2*
1. School of Economics and Management, Beijing University of Aeronautics and Astronautics, Beijing 100191, China;
2. Dept. of System Engineering of Engineering Technology, Beijing University of Aeronautics and Astronautics, Beijing 100191, China

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Abstract�� Recommending an appropriate expert in knowledge management systems is an effective and efficient way to utilize tacit knowledge. To recommend the experts with multiple knowledge areas and identify the user-s knowledge needs completely, an approach to expert recommendation with multiple knowledge areas based on fuzzy text categorization was proposed. Firstly, fuzzy text classifier was constructed. An expert profile was built by classifying the newly registered knowledge artifacts fuzzily and with volume and time factors. Knowledge needs model was composed of explicit knowledge needs and implicit knowledge needs. Explicit knowledge needs was identified by analyzing the browsing logs. Implicit knowledge needs was measured by the entropy of the explicit knowledge needs. Expert was recommended based on the matching degree of expert profile and the user-s knowledge needs model. The proposed approach was developed and was used successfully in the knowledge management system. The approach was proved to be applicable.
Keywords�� text processing   expert systems   knowledge based systems   knowledge management     
Received 2008-11-30;
Fund:

������Ȼ��ѧ����������Ŀ(70671007,70871006);��������ʿ�����������Ŀ(200800060005)

About author: �� ��(1981-),��,ɽ����ׯ��,��ʿ��,limigsd@gmail.com.
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�� ��, �� ³, �� ��, ���׶�.����ģ���ı�����Ķ�֪ʶ����ר���Ƽ�����[J]  �������պ����ѧѧ��, 2009,V35(10): 1254-1257
Li Ming, Liu Lu, Wang Jun, Huang Zhaodong.Approach to expert recommendation with multiple knowledge areas based on fuzzy text categorization[J]  JOURNAL OF BEIJING UNIVERSITY OF AERONAUTICS AND A, 2009,V35(10): 1254-1257
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http://bhxb.buaa.edu.cn//CN/     ��     http://bhxb.buaa.edu.cn//CN/Y2009/V35/I10/1254
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