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» Spark: top-k keyword query in relational databases
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ICDE
2003
IEEE
170views Database» more  ICDE 2003»
14 years 6 months ago
Keyword Proximity Search on XML Graphs
XKeyword provides efficient keyword proximity queries on large XML graph databases. A query is simply a list of keywords and does not require any schema or query language knowledg...
Vagelis Hristidis, Yannis Papakonstantinou, Andrey...
SIGMOD
2011
ACM
176views Database» more  SIGMOD 2011»
12 years 8 months ago
Sharing work in keyword search over databases
An important means of allowing non-expert end-users to pose ad hoc queries — whether over single databases or data integration systems — is through keyword search. Given a set...
Marie Jacob, Zachary G. Ives
WAIM
2010
Springer
13 years 3 months ago
Efficient Continuous Top-k Keyword Search in Relational Databases
Keyword search in relational databases has been widely studied in recent years. Most of the previous studies focus on how to answer an instant keyword query. In this paper, we focu...
Yanwei Xu, Yoshiharu Ishikawa, Jihong Guan
ICDE
2011
IEEE
215views Database» more  ICDE 2011»
12 years 9 months ago
Top-k keyword search over probabilistic XML data
—Despite the proliferation of work on XML keyword query, it remains open to support keyword query over probabilistic XML data. Compared with traditional keyword search, it is far...
Jianxin Li, Chengfei Liu, Rui Zhou, Wei Wang
ICDE
2007
IEEE
219views Database» more  ICDE 2007»
14 years 6 months ago
Efficient Keyword Search Across Heterogeneous Relational Databases
Keyword search is a familiar and potentially effective way to find information of interest that is "locked" inside relational databases. Current work has generally assum...
Mayssam Sayyadian, Hieu LeKhac, AnHai Doan, Luis G...