survey

Web Table Extraction, Retrieval, and Augmentation: A Survey

Authors:

Krisztian BalogAuthors Info & Claims

ACM Transactions on Intelligent Systems and Technology (TIST), Volume 11, Issue 2

Article No.: 13, Pages 1 - 35

https://doi.org/10.1145/3372117

Published: 25 January 2020 Publication History

Abstract

Tables are powerful and popular tools for organizing and manipulating data. A vast number of tables can be found on the Web, which represent a valuable knowledge resource. The objective of this survey is to synthesize and present two decades of research on web tables. In particular, we organize existing literature into six main categories of information access tasks: table extraction, table interpretation, table search, question answering, knowledge base augmentation, and table augmentation. For each of these tasks, we identify and describe seminal approaches, present relevant resources, and point out interdependencies among the different tasks.

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Index Terms

Web Table Extraction, Retrieval, and Augmentation: A Survey
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cover image ACM Transactions on Intelligent Systems and Technology

ACM Transactions on Intelligent Systems and Technology Volume 11, Issue 2

Survey Paper and Regular Paper

April 2020

274 pages

ISSN:2157-6904

EISSN:2157-6912

DOI:10.1145/3379210

Editor:
Yu Zheng
JD Finance, China

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Publication History

Published: 25 January 2020

Accepted: 01 November 2019

Revised: 01 August 2019

Received: 01 December 2018

Published in TIST Volume 11, Issue 2

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