TAKCO: A Platform for Extracting Novel Facts from Tables

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

Web tables contain a large amount of useful knowledge. Takco is a new large-scale platform designed for extracting facts from tables that can be added to Knowledge Graphs (KGs) like Wikidata. Focusing on achieving high precision, current techniques are biased towards extracting redundant facts, i.e., facts already in the KG. Takco aims to find more novel facts, still at high precision. Our demonstration has two goals. The first one is to illustrate the main features of Takco's novel interpretation algorithm. The second goal is to show to what extent other state-of-The-Art systems are biased towards the extraction of redundant facts using our platform, thus raising awareness on this important problem.

Original languageEnglish
Title of host publicationWWW 2021
Subtitle of host publicationCompanion Proceedings of the Web Conference 2021
PublisherAssociation for Computing Machinery, Inc
Pages705-707
Number of pages3
ISBN (Electronic)9781450383134
DOIs
Publication statusPublished - Apr 2021
Event30th World Wide Web Conference, WWW 2021 - Ljubljana, Slovenia
Duration: 19 Apr 202123 Apr 2021

Conference

Conference30th World Wide Web Conference, WWW 2021
Country/TerritorySlovenia
CityLjubljana
Period19/04/2123/04/21

Bibliographical note

Publisher Copyright:
© 2021 ACM.

Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.

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