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SIGMOD
2008
ACM
139views Database» more  SIGMOD 2008»
14 years 5 months ago
SQAK: doing more with keywords
Today's enterprise databases are large and complex, often relating hundreds of entities. Enabling ordinary users to query such databases and derive value from them has been o...
Sandeep Tata, Guy M. Lohman
VLDB
2005
ACM
144views Database» more  VLDB 2005»
13 years 10 months ago
Bidirectional Expansion For Keyword Search on Graph Databases
Relational, XML and HTML data can be represented as graphs with entities as nodes and relationships as edges. Text is associated with nodes and possibly edges. Keyword search on s...
Varun Kacholia, Shashank Pandit, Soumen Chakrabart...
ICDE
2011
IEEE
215views Database» more  ICDE 2011»
12 years 8 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
2009
IEEE
251views Database» more  ICDE 2009»
14 years 6 months ago
Contextual Ranking of Keywords Using Click Data
The problem of automatically extracting the most interesting and relevant keyword phrases in a document has been studied extensively as it is crucial for a number of applications. ...
Utku Irmak, Vadim von Brzeski, Reiner Kraft
ICDE
2009
IEEE
184views Database» more  ICDE 2009»
13 years 11 months ago
Scalable Keyword Search on Large Data Streams
Abstract— It is widely realized that the integration of information retrieval (IR) and database (DB) techniques provides users with a broad range of high quality services. A new ...
Lu Qin, Jeffrey Xu Yu, Lijun Chang, Yufei Tao