What is the IQ of your data transformation system?

  • Authors:
  • Giansalvatore Mecca;Paolo Papotti;Salvatore Raunich;Donatello Santoro

  • Affiliations:
  • Università della Basilicata, Potenza, Italy;Qatar Computing Research Institute, Doha, Qatar;University of Leipzig, Leipzig, Germany;Università della Basilicata, Potenza, Italy

  • Venue:
  • Proceedings of the 21st ACM international conference on Information and knowledge management
  • Year:
  • 2012

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Abstract

Mapping and translating data across different representations is a crucial problem in information systems. Many formalisms and tools are currently used for this purpose, to the point that developers typically face a difficult question: "what is the right tool for my translation task?" In this paper, we introduce several techniques that contribute to answer this question. Among these, a fairly general definition of a data transformation system, a new and very efficient similarity measure to evaluate the outputs produced by such a system, and a metric to estimate user efforts. Based on these techniques, we are able to compare a wide range of systems on many translation tasks, to gain interesting insights about their effectiveness, and, ultimately, about their "intelligence".