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          Institute: MPI für Informatik     Collection: Databases and Information Systems Group     Display Documents



ID: 314668.0, MPI für Informatik / Databases and Information Systems Group
Probabilistic information retrieval approach for ranking of database query results
Authors:Chaudhuri, Surajit; Das, Gautam; Hristidis, Vagelis; Weikum, Gerhard
Language:English
Date of Publication (YYYY-MM-DD):2006
Title of Journal:ACM Transactions on Database Systems
Volume:31
Start Page:1134
End Page:1168
Review Status:Peer-review
Audience:Experts Only
Intended Educational Use:No
Abstract / Description:We investigate the problem of ranking the answers to a database query when many
tuples are returned. In particular, we present methodologies to tackle the
problem for conjunctive and range queries, by adapting and applying principles
of probabilistic models from information retrieval for structured data. Our
solution is domain independent and leverages data and workload statistics and
correlations. We evaluate the quality of our approach with a user survey on a
real database. Furthermore, we present and experimentally evaluate algorithms
to efficiently retrieve the top ranked results, which demonstrate the
feasibility of our ranking system.
Last Change of the Resource (YYYY-MM-DD):2007-04-27
External Publication Status:published
Document Type:Article
Communicated by:Gerhard Weikum
Affiliations:MPI für Informatik/Databases and Information Systems Group
Identifiers:LOCALID:C1256DBF005F876D-89A90B60B4C6A2B7C125728800468C46-...
ISSN:0362-5915
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