Data Cleaning publication categorizer

The object identification problem in databases has been
tackled in many different ways, e.g. Record Linkage, or the
Sorted Neighborhood Method. We present a framework, that
allows the evaluation of the competing approaches. Appropriate experiments on a real-world database has been made.

Research and industry has tackled the object identification
problem of data integration in many different ways.
This paper presents a framework, that allows the evaluation of
competing approaches. To this end, complexity measures and
data characteristics are introduced, which reflect the hardness
of a given object identification problem. All characteristics can be
estimated by use of simple SQL queries and simple calculations.
Following the principle of benchmark definitions we specify a test
framework. It consists of a test database and its characteristics,