DataXFormer: An interactive data transformation tool

John Morcos, Ziawasch Abedjan, Ihab F. Ilyas, Mourad Ouzzani, Paolo Papotti, Michael Stonebraker

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

10 Citations (Scopus)

Abstract

While syntactic transformations require the application of a formula on the input values, such as unit conversion or date format conversions, semantic transformations, such as zip code to city, require a look-up in some reference data. We recently presented DataXFormer, a system that leverages Web tables, Web forms, and expert sourcing to cover a wide range of transformations. In this demonstration, we present the user-interaction with DataXFormer and show scenarios on how it can be used to transform data and explore the effectiveness and efficiency of several approaches for transformation discovery, leveraging about 112 million tables and online sources.

Original languageEnglish
Title of host publicationProceedings of the ACM SIGMOD International Conference on Management of Data
PublisherAssociation for Computing Machinery
Pages883-888
Number of pages6
Volume2015-May
ISBN (Print)9781450327589
DOIs
Publication statusPublished - 27 May 2015
EventACM SIGMOD International Conference on Management of Data, SIGMOD 2015 - Melbourne, Australia
Duration: 31 May 20154 Jun 2015

Other

OtherACM SIGMOD International Conference on Management of Data, SIGMOD 2015
CountryAustralia
CityMelbourne
Period31/5/154/6/15

    Fingerprint

Keywords

  • Data enrichment
  • Data integration
  • Data transformation
  • Deep web
  • Web forms
  • Web tables
  • Wrapper

ASJC Scopus subject areas

  • Software
  • Information Systems

Cite this

Morcos, J., Abedjan, Z., Ilyas, I. F., Ouzzani, M., Papotti, P., & Stonebraker, M. (2015). DataXFormer: An interactive data transformation tool. In Proceedings of the ACM SIGMOD International Conference on Management of Data (Vol. 2015-May, pp. 883-888). Association for Computing Machinery. https://doi.org/10.1145/2723372.2735366