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» Spark: top-k keyword query in relational databases
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ICDE
2009
IEEE
205views Database» more  ICDE 2009»
14 years 8 months ago
Top-k Exploration of Query Candidates for Efficient Keyword Search on Graph-Shaped (RDF) Data
Keyword queries enjoy widespread usage as they represent an intuitive way of specifying information needs. Recently, answering keyword queries on graph-structured data has emerged ...
Thanh Tran, Haofen Wang, Sebastian Rudolph, Philip...
ICDE
2009
IEEE
184views Database» more  ICDE 2009»
14 years 1 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
EDBT
2011
ACM
209views Database» more  EDBT 2011»
12 years 10 months ago
An optimal strategy for monitoring top-k queries in streaming windows
Continuous top-k queries, which report a certain number (k) of top preferred objects from data streams, are important for a broad class of real-time applications, ranging from fi...
Di Yang, Avani Shastri, Elke A. Rundensteiner, Mat...
PVLDB
2010
118views more  PVLDB 2010»
13 years 5 months ago
Ten Thousand SQLs: Parallel Keyword Queries Computing
Keyword search in relational databases has been extensively studied. Given a relational database, a keyword query finds a set of interconnected tuple structures connected by fore...
Lu Qin, Jefferey Yu, Lijun Chang
VLDB
2005
ACM
144views Database» more  VLDB 2005»
14 years 5 days 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...