Oesterreichisches Forschungsinstitut fuer Artificial Intelligence (OeFAI)
Schottengasse 3, A-1010 Wien
Tel.: +43-1-53361120, Fax: +43-1-5336112-77, Email: sec@ai.univie.ac.at
-------------------------------------------------------------------------
VORTRAG
*******
Prof.Dr.H.-J.Lenz
Freie Universitaet Berlin
DATA FUSION (OBJECT IDENTIFICATION)
We consider data fusion in the case of missing object identification.
As a simple example think of fusion of partial overlapping address files
of customers extracted from autonomous sites or of an administrative
record census. The first example is related to customer relationship
management (CRM), while the last one is a substitute of a regular census.
This kind of data fusion causes problems of (schema) integration, solving
semantic conflicts, and object identification if global identifiers are
not locally available and local heterogeneous, autonomous databases are
to be accessed. The complexity of the problem is increased by the exist-
ence of errors like input or loading errors, mispellings, missing values,
and, of course, duplicated entries. We develop a unified framework for
such kind of data fusion. We cover the feature selection problem, and
embed the data fusion problem into a supervised classification problem.
For each pair of records we have to decide whether a definite decision
upon matching or not is possible and if it is possible, whether the two
records are linked to an identical unit (customer, citizen etc.) or not.
Candidates for classification can be selected from likelihood ratio
tests (record linkage), classification trees, non linear classification
or state vector machines.
The approach is illustrated by a running example.
DER VORTRAG WIRD AUF DEUTSCH GEHALTEN.
References:
M. Neiling, H.-J. Lenz, Data Fusion and Object Identification, Intl.
Conference on Advances in Infrastructure for Electronic Business,
Science and Education on the Internet (SSGRR2000), lÂ’Aquila, 2000
Zeit: Montag, 30.Oktober 2000, 18:30 Uhr pktl.
Ort: Oesterreichisches Forschungsinstitut fuer Artificial Intelligence
Schottengasse 3, 1010 Wien 1.
OESTERREICHISCHES FORSCHUNGSINSTITUT
FUER ARTIFICIAL INTELLIGENCE
o.Univ.-Prof.Dr.Robert Trappl