Data quality enhancement of databases using ontologies and inductive reasoning

Authors:
Olivier Curé;Robert Jeansoulin
Affiliations:
S3IS, Université Paris Est, Marne-la-Vallée, France;IGM, Université Paris Est, Marne-la-Vallée, France
Venue:
OTM'07 Proceedings of the 2007 OTM Confederated international conference on On the move to meaningful internet systems: CoopIS, DOA, ODBASE, GADA, and IS - Volume Part I
Year:
2007

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Abstract

The objective of this paper is twofold: create domain ontologies by induction on source databases and enhance data quality features in relational databases using these ontologies. The proposed method consists of the following steps : (1) transforming domain specific controlled terminologies into Semantic Web compliant Description Logics, (2) associating new axioms to concepts of these ontologies based on inductive reasoning on source databases, and (3) providing domain experts with an ontology-based tool to enhance the data quality of source databases. This last step aggregates tuples using ontology concepts and checks the characteristics of those tuples with the concept's properties. We present a concrete example of this solution on a medical application using well-established drug related terminologies.