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ICDE
2006
IEEE

Searching and Ranking Documents based on Semantic Relationships

13 years 11 months ago
Searching and Ranking Documents based on Semantic Relationships
Just as the link structure of the web is a critical component in today's web search, complex relationships (i.e., the different ways the dots are connected) will be an important component in tomorrow's web search technologies. In this paper, I summarize my research on answering the question of: How we can exploit semantic relationships of named-entities to improve relevance in search and ranking of documents? The intuition of my approach is to first analyze the relationships of namedentities with respect to a query. Second, relevance weights, which are assigned by human experts, can then be used to guarantee results within a relevance threshold. These relevance measures can be applied both for searching and ranking of documents.
Boanerges Aleman-Meza
Added 11 Jun 2010
Updated 11 Jun 2010
Type Conference
Year 2006
Where ICDE
Authors Boanerges Aleman-Meza
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