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» Probabilistic ranked queries in uncertain databases
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VLDB
2007
ACM
132views Database» more  VLDB 2007»
13 years 12 months ago
EntityRank: Searching Entities Directly and Holistically
As the Web has evolved into a data-rich repository, with the standard “page view,” current search engines are becoming increasingly inadequate for a wide range of query tasks....
Tao Cheng, Xifeng Yan, Kevin Chen-Chuan Chang
SIGMOD
2004
ACM
163views Database» more  SIGMOD 2004»
14 years 6 months ago
Rank-aware Query Optimization
Ranking is an important property that needs to be fully supported by current relational query engines. Recently, several rank-join query operators have been proposed based on rank...
Ihab F. Ilyas, Rahul Shah, Walid G. Aref, Jeffrey ...
ICDE
2008
IEEE
140views Database» more  ICDE 2008»
14 years 7 months ago
Top-k Spatial Joins of Probabilistic Objects
Probabilistic data have recently become popular in applications such as scientific and geospatial databases. For images and other spatial datasets, probabilistic values can capture...
Vebjorn Ljosa, Ambuj K. Singh
SUM
2009
Springer
13 years 10 months ago
Compression of Probabilistic XML Documents
Database techniques to store, query and manipulate data that contains uncertainty receives increasing research interest. Such UDBMSs can be classified according to their underlyin...
Irma Veldman, Ander de Keijzer, Maurice van Keulen
JASIS
2000
120views more  JASIS 2000»
13 years 5 months ago
Probabilistic datalog: Implementing logical information retrieval for advanced applications
In the logical approach to information retrieval (IR), retrieval is considered as uncertain inference. Whereas classical IR models are based on propositional logic, we combine Dat...
Norbert Fuhr