Misc.

Jul 6, 2006

Name Disambiguation in Web Search Using Knowledge Base

IEICE technical report
  • VU Quang MINH
  • ,
  • MASADA Tomonari
  • ,
  • TAKASU Atsuhiro
  • ,
  • ADACHI Jun

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
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
  • ISSN : 0913-5685
  • CiNii Articles ID : 110004833182
  • CiNii Books ID : AN10012921

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