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New Technology of Library and Information Service  2013, Vol. 29 Issue (9): 82-87    DOI: 10.11925/infotech.1003-3513.2013.09.13
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Person Name Attribute Knowledge Mining and Its Application for Query Classification
Zhang Mei, Duan Jianyong, Xu Jichao
College of Information Engineering, North China University of Technology, Beijing 100144, China
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Abstract  There are many name entity queries in the Web logs, and person name queries are more than half of these queries. This paper uses Web logs and Wikipedia information to construct the person name knowledge base for the query recommendation. Firstly the person name entities are mined from Web logs and the attributes of these entities are combined by extracting from Wikipedia. With the help of the person name knowledge, the person names in the user queries are classified by the attribute patterns and statistic methods. Then related attribute knowledge is used to recommend the user Intents. The results show that the person name knowledge can be used effectively in the query classification.
Key wordsAttribute mining      Query classification      Information retrieval     
Received: 27 May 2013      Published: 27 September 2013
:  TP393  

Cite this article:

Zhang Mei, Duan Jianyong, Xu Jichao. Person Name Attribute Knowledge Mining and Its Application for Query Classification. New Technology of Library and Information Service, 2013, 29(9): 82-87.

URL:

http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2013.09.13     OR     http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2013/V29/I9/82

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