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» Boolean ranking: querying a database by k-constrained opti...
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VLDB
2004
ACM
161views Database» more  VLDB 2004»
15 years 9 months ago
Supporting top-k join queries in relational databases
Ranking queries produce results that are ordered on some computed score. Typically, these queries involve joins, where users are usually interested only in the top-k join results....
Ihab F. Ilyas, Walid G. Aref, Ahmed K. Elmagarmid
SIGMOD
2011
ACM
176views Database» more  SIGMOD 2011»
14 years 7 days 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
SIGMOD
2001
ACM
108views Database» more  SIGMOD 2001»
15 years 9 months ago
PREFER: A System for the Efficient Execution of Multi-parametric Ranked Queries
Users often need to optimize the selection of objects by appropriately weighting the importance of multiple object attributes. Such optimization problems appear often in operation...
Vagelis Hristidis, Nick Koudas, Yannis Papakonstan...
VLDB
2001
ACM
82views Database» more  VLDB 2001»
15 years 1 months ago
Supporting Incremental Join Queries on Ranked Inputs
This paper investigates the problem of incremental joins of multiple ranked data sets when the join condition is a list of arbitrary user-defined predicates on the input tuples. ...
Apostol Natsev, Yuan-Chi Chang, John R. Smith, Chu...
BTW
2003
Springer
140views Database» more  BTW 2003»
15 years 2 months ago
An Ontology for Domain-oriented Semantic Similarity Search on XML Data
Abstract: Query languages for XML such as XPath or XQuery support Boolean retrieval where a query result is a (possibly restructured) subset of XML elements or entire documents tha...
Anja Theobald