Tab2Know: Building a Knowledge Base from Tables in Scientific Papers

Benno Kruit*, Hongyu He, Jacopo Urbani

*Corresponding author for this work

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

Abstract

Tables in scientific papers contain a wealth of valuable knowledge for the scientific enterprise. To help the many of us who frequently consult this type of knowledge, we present Tab2Know, a new end-to-end system to build a Knowledge Base (KB) from tables in scientific papers. Tab2Know addresses the challenge of automatically interpreting the tables in papers and of disambiguating the entities that they contain. To solve these problems, we propose a pipeline that employs both statistical-based classifiers and logic-based reasoning. First, our pipeline applies weakly supervised classifiers to recognize the type of tables and columns, with the help of a data labeling system and an ontology specifically designed for our purpose. Then, logic-based reasoning is used to link equivalent entities (via sameAs links) in different tables. An empirical evaluation of our approach using a corpus of papers in the Computer Science domain has returned satisfactory performance. This suggests that ours is a promising step to create a large-scale KB of scientific knowledge.

Original languageEnglish
Title of host publicationThe Semantic Web – ISWC 2020
Subtitle of host publication19th International Semantic Web Conference Athens, Greece, November 2–6, 2020 Proceedings, Part I
EditorsJeff Z. Pan, Valentina Tamma, Claudia d’Amato, Krzysztof Janowicz, Bo Fu, Axel Polleres, Oshani Seneviratne, Lalana Kagal
PublisherSpringer Science and Business Media Deutschland GmbH
Pages349-365
Number of pages17
Volume1
ISBN (Electronic)9783030624194
ISBN (Print)9783030624187
DOIs
Publication statusPublished - 2020
Event19th International Semantic Web Conference, ISWC 2020 - Athens, Greece
Duration: 2 Nov 20206 Nov 2020

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12506 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference19th International Semantic Web Conference, ISWC 2020
CountryGreece
CityAthens
Period2/11/206/11/20

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