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» Spark: top-k keyword query in relational databases
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ICDE
2010
IEEE
428views Database» more  ICDE 2010»
14 years 4 months ago
Supporting Top-K Keyword Search in XML Databases
Keyword search is considered to be an effective information discovery method for both structured and semistructured data. In XML keyword search, query semantics is based on the con...
Liang Jeff Chen, Yannis Papakonstantinou
SIGMOD
2008
ACM
214views Database» more  SIGMOD 2008»
14 years 4 months ago
A graph method for keyword-based selection of the top-K databases
While database management systems offer a comprehensive solution to data storage, they require deep knowledge of the schema, as well as the data manipulation language, in order to...
Quang Hieu Vu, Beng Chin Ooi, Dimitris Papadias, A...
SIGMOD
2007
ACM
229views Database» more  SIGMOD 2007»
14 years 4 months ago
Spark: top-k keyword query in relational databases
With the increasing amount of text data stored in relational databases, there is a demand for RDBMS to support keyword queries over text data. As a search result is often assemble...
Yi Luo, Xuemin Lin, Wei Wang 0011, Xiaofang Zhou
CIKM
2011
Springer
12 years 4 months ago
S3K: seeking statement-supporting top-K witnesses
Traditional information retrieval techniques based on keyword search help to identify a ranked set of relevant documents, which often contains many documents in the top ranks that...
Steffen Metzger, Shady Elbassuoni, Katja Hose, Ral...
SSDBM
2005
IEEE
184views Database» more  SSDBM 2005»
13 years 10 months ago
Optimizing Multiple Top-K Queries over Joins
Advanced Data Mining applications require more and more support from relational database engines. Especially clustering applications in high dimensional features space demand a pr...
Dirk Habich, Wolfgang Lehner, Alexander Hinneburg