From Microsoft Research: Putting Search into Context
Note: This item is a news/press release from MS.

The post focuses on the work of Silviu-Petru Cucerzan a member of the Text Mining, Search and Navigation group at MSR in Redmond.

Read Full Text Paper by Cucerzan: Large-Scale Named Entity Disambiguation Based on Wikipedia Data

His project explores the space of contextual search and instant access to information, in which the content of a document is analyzed to provide hyperlinks to key concepts. In the process of doing so, it identifies the most appropriate matches for ambiguous terms by considering them in the context in which they are used.

“I believe this could change a lot of what we’re doing,” Cucerzan says, “a lot of how search is done in general.”

Source: MSR

See Also: SuperSenseLearner System from Yahoo Research

This entry was posted on Friday, May 25th, 2007 at 1:27 am and is filed under Cataloging and Metadata, Information Science, Information Seeking, Search News, Technology and Internet, Web Search. You can follow any responses to this entry through the RSS 2.0 feed. Responses are currently closed, but you can trackback from your own site.