DocumentCode :
1804937
Title :
Searching and Ranking Documents based on Semantic Relationships
Author :
Aleman-Meza, Boanerges
Author_Institution :
University of Georgia
fYear :
2006
fDate :
2006
Abstract :
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.
Keywords :
Cities and towns; Computer science; Data mining; Humans; Industrial relations; Libraries; Ontologies; Vocabulary; Web pages; Web search;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Engineering Workshops, 2006. Proceedings. 22nd International Conference on
Conference_Location :
Atlanta, GA, USA
Print_ISBN :
0-7695-2571-7
Type :
conf
DOI :
10.1109/ICDEW.2006.131
Filename :
1623932
Link To Document :
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