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» Exploiting Semantic Query Context to Improve Search Ranking
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SIGMOD
2007
ACM
232views Database» more  SIGMOD 2007»
14 years 7 months ago
BLINKS: ranked keyword searches on graphs
Query processing over graph-structured data is enjoying a growing number of applications. Keyword search on a graph finds a set of answers, each of which is a substructure of the ...
Haixun Wang, Hao He, Jun Yang 0001, Philip S. Yu
JODS
2006
206views Data Mining» more  JODS 2006»
13 years 7 months ago
Emergent Semantics in Knowledge Sifter: An Evolutionary Search Agent Based on Semantic Web Services
This paper addresses the various facets of emergent semantics in content retrieval systems such as Knowledge Sifter, an architecture and system based on the use of specialized agen...
Larry Kerschberg, Hanjo Jeong, Wooju Kim
ICDE
2010
IEEE
252views Database» more  ICDE 2010»
14 years 7 months ago
Semantic Ranking and Result Visualization for Life Sciences Publications
An ever-increasing amount of data and semantic knowledge in the domain of life sciences is bringing about new data management challenges. In this paper we focus on adding the seman...
Julia Stoyanovich, Kenneth A. Ross, William Mee
CIKM
2010
Springer
13 years 5 months ago
Probabilistic ranking for relational databases based on correlations
This paper proposes a ranking method to exploit statistical correlations among pairs of attribute values in relational databases. For a given query, the correlations of the query ...
Jaehui Park, Sang-goo Lee
WWW
2004
ACM
14 years 8 months ago
A community-aware search engine
Current search technologies work in "one size fits all" fashion. Therefore, the answer to a query is independent of specific user information need. In this paper, we des...
Rodrigo B. Almeida, Virgílio A. F. Almeida