Jul 6, 2006
Name Disambiguation in Web Search Using Knowledge Base
IEICE technical report
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- ,
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- Volume
- 106
- Number
- 149
- First page
- 143
- Last page
- 148
- Language
- English
- Publishing type
- Publisher
- The Institute of Electronics, Information and Communication Engineers
Results of queries by personal names often contain documents related to several people because of namesake problem. In order to discriminate documents related to different people, it is required an effective method to measure document similarities and to find out relevant documents of the same person. Some previous researches have used cosine similarity method or have tried to extract common named entities for measuring similarities. We propose a new method which uses web directories as knowledge base to find out shared contexts in document pairs and uses the measurement of shared contexts as similarities between document pairs. Experimental results show that our proposed method outperforms cosine similarity method and common named entities method.
- Link information
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- CiNii Articles
- http://ci.nii.ac.jp/naid/110004833182
- CiNii Books
- http://ci.nii.ac.jp/ncid/AN10012921
- URL
- http://id.ndl.go.jp/bib/8017378
- ID information
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- ISSN : 0913-5685
- CiNii Articles ID : 110004833182
- CiNii Books ID : AN10012921