A semantic approach to ETL technologies

  • Authors:
  • Sonia Bergamaschi;Francesco Guerra;Mirko Orsini;Claudio Sartori;Maurizio Vincini

  • Affiliations:
  • Universití di Modena e Reggio Emilia, Via Universití 4, 41121 Modena, Italy;Universití di Modena e Reggio Emilia, Via Universití 4, 41121 Modena, Italy;Universití di Modena e Reggio Emilia, Via Universití 4, 41121 Modena, Italy;Universití di Bologna, Viale Risorgimento 2, 40136 Bologna, Italy;Universití di Modena e Reggio Emilia, Via Universití 4, 41121 Modena, Italy

  • Venue:
  • Data & Knowledge Engineering
  • Year:
  • 2011

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Abstract

Data warehouse architectures rely on extraction, transformation and loading (ETL) processes for the creation of an updated, consistent and materialized view of a set of data sources. In this paper, we support these processes by proposing a tool that: (1) allows the semi-automatic definition of inter-attribute semantic mappings, by identifying the parts of the data source schemas which are related to the data warehouse schema, thus supporting the extraction process; and (2) groups the attribute values semantically related thus defining a transformation function for populating with homogeneous values the data warehouse. Our proposal couples and extends the functionalities of two previously developed systems: the MOMIS integration system and the RELEVANT data analysis system. The system has been experimented within a real scenario concerning the creation of a data warehouse for enterprises working in the beverage and food logistic area. The results showed that the coupled system supports effectively the extraction and transformation processes.