Data Quality Mining in Ontologies for Utilities

Abstract

The energy market in Europe underlies several diversifications. Through the pressure of the European Union the former monopolistic companies are forced to open the market and allow competition with newcomers in order to gain an economically and ecologically more efficient energy market. This new situation has implications on the IT-infrastructure of those companies so that grown databases have to be integrated into the new company’s structures. As with every long-living database and especially with a data integration process there are emerging problems with the data quality. In a current project we decided to use the domain ontology CIM (common information model) to remodel and integrate those data sources. This paper deals with the data quality problems resulting from the long used databases and the integration process. Therefore a definition of data quality is introduced and an overview of the algorithm classes needed for fulfilling the defined requirements is given as well as an explanation for the term data quality mining. The discussed topics will then be represented in an ontology that is used to specify the knowledge needed for and the processes of data quality mining and which will be merged with the domain ontology to execute data quality management.