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 language | English |
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Title of host publication | WWW 2021 |
Subtitle of host publication | Companion Proceedings of the Web Conference 2021 |
Publisher | Association for Computing Machinery, Inc |
Pages | 705-707 |
Number of pages | 3 |
ISBN (Electronic) | 9781450383134 |
DOIs | |
Publication status | Published - Apr 2021 |
Event | 30th World Wide Web Conference, WWW 2021 - Ljubljana, Slovenia Duration: 19 Apr 2021 → 23 Apr 2021 |
Conference
Conference | 30th World Wide Web Conference, WWW 2021 |
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Country/Territory | Slovenia |
City | Ljubljana |
Period | 19/04/21 → 23/04/21 |
Bibliographical note
Publisher Copyright:© 2021 ACM.
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