Incorporating Uncertainty Metrics into a General-Purpose Data Integration System

Louie, Brenton and Detwiler, Landon T and Dalvi, Nilesh and Shaker, Ron and Tarczy-Hornoch, Peter and Suciu, Dan (2007) Incorporating Uncertainty Metrics into a General-Purpose Data Integration System. In: SSDBM (Scientific and Statistical Database Management). (In Press)

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There is a significant need for data integration
capabilities in the scientific domain, which has
manifested itself as products in the commercial world
as well as academia. However, in our experiences in
dealing with biological data it has become apparent to
us that existing data integration products do not
handle uncertainties in the data very well. This leads
to systems that often produce an explosion of less
relevant answers which subsequently leads to a loss of
more relevant answers by overloading the user. How
to incorporate functionality into data integration
systems to properly handle uncertainties and make
results more useful has become an important research
In this paper we describe an enhanced generalpurpose
data integration system which incorporates
uncertainty metrics within a formal probabilistic
framework. Additionally, for evaluation purposes, we
have implemented a use case scenario which utilizes
biological data sources and performed a study which
provides validation of system query results.

Item Type: Book Section
Subjects: All Projects > Biomediator
Depositing User: Jim Brinkley
Date Deposited: 04 Jun 2007
Last Modified: 24 Jul 2017 23:34

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