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 language | English (US) |
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Title of host publication | SIGMOD 2015 - Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data |
Publisher | Association for Computing Machinery |
Pages | 883-888 |
Number of pages | 6 |
Volume | 2015-May |
ISBN (Electronic) | 9781450327589 |
DOIs | |
State | Published - May 27 2015 |
Externally published | Yes |
Event | ACM SIGMOD International Conference on Management of Data, SIGMOD 2015 - Melbourne, Australia Duration: May 31 2015 → Jun 4 2015 |
Other
Other | ACM SIGMOD International Conference on Management of Data, SIGMOD 2015 |
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Country/Territory | Australia |
City | Melbourne |
Period | 5/31/15 → 6/4/15 |
Keywords
- Data enrichment
- Data integration
- Data transformation
- Deep web
- Web forms
- Web tables
- Wrapper
ASJC Scopus subject areas
- Software
- Information Systems