Data Cleaning publication categorizer

Integrated access to information that is spread
over multiple, distributed, and heterogeneous
sources is an important problem in many scientific
and commercial domains. While much
work has been done on query processing and
choosing plans under cost criteria, very little is
known about the important problem of incorporating
the information quality aspect into
query planning.
In this paper we describe a framework for
multidatabase query processing that fully includes
the quality of information in many
facets, such as completeness, timeliness, accuracy,
etc. We seamlessly include information
quality into a multidatabase query processor
based on a view-rewriting mechanism. We
model information quality at different levels
to ultimately find a set of high-quality query answering
plans.