What is the IQ of your data transformation system?

Giansalvatore Mecca, Paolo Papotti, Salvatore Raunich, Donatello Santoro

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

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".

Original languageEnglish
Title of host publicationCIKM 2012 - Proceedings of the 21st ACM International Conference on Information and Knowledge Management
Pages872-881
Number of pages10
DOIs
Publication statusPublished - 19 Dec 2012
Event21st ACM International Conference on Information and Knowledge Management, CIKM 2012 - Maui, HI, United States
Duration: 29 Oct 20122 Nov 2012

Publication series

NameACM International Conference Proceeding Series

Other

Other21st ACM International Conference on Information and Knowledge Management, CIKM 2012
CountryUnited States
CityMaui, HI
Period29/10/122/11/12

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Keywords

  • ETL
  • benchmarks
  • data transformation
  • schema mappings

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

Cite this

Mecca, G., Papotti, P., Raunich, S., & Santoro, D. (2012). What is the IQ of your data transformation system? In CIKM 2012 - Proceedings of the 21st ACM International Conference on Information and Knowledge Management (pp. 872-881). (ACM International Conference Proceeding Series). https://doi.org/10.1145/2396761.2396872