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

12 Scopus citations

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 (US)
Title of host publicationSIGMOD 2015 - Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data
PublisherAssociation for Computing Machinery
Pages883-888
Number of pages6
Volume2015-May
ISBN (Electronic)9781450327589
DOIs
StatePublished - May 27 2015
Externally publishedYes
EventACM SIGMOD International Conference on Management of Data, SIGMOD 2015 - Melbourne, Australia
Duration: May 31 2015Jun 4 2015

Other

OtherACM SIGMOD International Conference on Management of Data, SIGMOD 2015
Country/TerritoryAustralia
CityMelbourne
Period5/31/156/4/15

Keywords

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

ASJC Scopus subject areas

  • Software
  • Information Systems

Fingerprint

Dive into the research topics of 'DataXFormer: An interactive data transformation tool'. Together they form a unique fingerprint.

Cite this