کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
515741 | 867088 | 2008 | 16 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Improving the performance of personal name disambiguation using web directories Improving the performance of personal name disambiguation using web directories](/preview/png/515741.png)
Frequent requests from users to search engines on the World Wide Web are to search for information about people using personal names. Current search engines only return sets of documents containing the name queried, but, as several people usually share a personal name, the resulting sets often contain documents relevant to several people. It is necessary to disambiguate people in these result sets in order to to help users find the person of interest more readily. In the task of name disambiguation, effective measurement of similarities in the documents is a crucial step towards the final disambiguation. We propose a new method that uses web directories as a knowledge base to find common contexts in documents and uses the common contexts measure to determine document similarities. Experiments, conducted on documents mentioning real people on the web, together with several famous web directory structures, suggest that there are significant advantages in using web directories to disambiguate people compared with other conventional methods.
Journal: Information Processing & Management - Volume 44, Issue 4, July 2008, Pages 1546–1561