DataXFormer: An Interactive Data Transformation Tool

被引：8

作者：

Morcos, John ^{[1
]}

Abedjan, Ziawasch ^{[2
]}

Ilyas, Ihab F. ^{[1
]}

Ouzzani, Mourad ^{[3
]}

Papotti, Paolo ^{[3
]}

Stonebraker, Michael ^{[2
]}

机构：

[1] Univ Waterloo, Waterloo, ON, Canada

[2] MIT CSAIL, Cambridge, MA USA

[3] Qatar Comp Res Inst, Ar Rayyan, Qatar

来源：

SIGMOD'15: PROCEEDINGS OF THE 2015 ACM SIGMOD INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA | 2015年

关键词：

data integration; data enrichment; data transformation; web tables; web forms; wrapper; deep web;

D O I：

10.1145/2723372.2735366

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：883 / 888

页数：6

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