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�½���1, �ڽ���2*
1. �������պ����ѧ ����������������ص�ʵ����, ���� 100191;
2. �й���ѧԺ �����������Ϣ����, ���� 100190
Topic model based structural Web services discovery
Chen Jiangfeng1, Yu Jianjun2*
1. State Key Lab. Software Development Environment, Bejing University of Aeronautics and Astronautics, Beijing 100191, China;
2. Computer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China

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ժҪ ����˻�������ģ��(topic model)�Ľṹ��Web�����ֻ���.����LDA(Latent Dirichlet Allocation)���ɸ���ģ��,��Web����(Web service)��ģΪ�ṹ���ı��ĵ�.һ���ĵ���������ĸ��ʷֲ�,�������ɹؼ��ʵĸ��ʷֲ����,�Ӷ��ṩ���������Web�������.ͬʱ,����Web����Ľṹ������,��Web���������ĵ���ʾΪ�����޻�ͼ,���ê�n�����׺˲���Web�����ĵ������ƶ�,ʵ��Web����ṹ����Ϣ�ķ���.ͨ��ʵ������Ա�,��������ģ�͵Ľṹ��Web�����ֻ�����Ч�����Web�����ֵ�Ч�ʺ;�ȷ��.
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Abstract�� A structural Web services discovery approach based on a topic model was proposed. Each Web service would be modeled as a structural textual document using probabilistic model generated by latent dirichlet allocation (LDA). Every document could be seen as a multinomial random mixture of topics, and each topic had multinomial distribution over keywords, and thus a Web service retrieval based on the topic model was put forward. At the same time, the similar correlations in functionally structural Web services could be modeled as a directed acyclic graph (DAG) and be measured by using a gap-weighted ��n��-spectrum kernel. Finally the experiment results show that several metrics for the classification and selection of services, such as success rate and executes efficiency, were improved via using our approach.
Keywords�� topic model   Web services   n -spectrum kernel   service discovery     
Received 2007-03-04;


About author: �½���(1976-),��,����������,�����о�Ա,chenjf@buaa.edu.cn.
�½���, �ڽ���.��������ģ�͵Ľṹ��Web�����ֻ���[J]  �������պ����ѧѧ��, 2008,V34(06): 734-738
Chen Jiangfeng, Yu Jianjun.Topic model based structural Web services discovery[J]  JOURNAL OF BEIJING UNIVERSITY OF AERONAUTICS AND A, 2008,V34(06): 734-738
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