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| Solution to Large Scale Extraction of Social Relations of Persons Based on Web |
| YAO CongLei, DI Nan |
| Computer Networks and Distributed Systems Laboratory, Peking University, Beijing 100871 |
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Abstract Web information about social relations of persons is an important type of information on the Web. A lightweight method for extracting largescale information of social relations of persons is proposed. The minimum descriptive patterns which are used to describe the social relations in web pages are mined from the web with the help of the simulated annealing method. The descriptive patterns are also used to extract more social relations of persons from the web by the redundancy of the web. Six types of social relations are defined to test the proposed method, and each type of the relations is extracted from a specified person name list, which is created from the web. The experimental result shows the average precision and recall of the proposed method are 84.79% and 81.69% respectively.
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Received: 08 December 2006
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2007, Vol. 20 
