research-article

TableNet: An Approach for Determining Fine-grained Relations for Wikipedia Tables

Authors:

Maria KoutrakiAuthors Info & Claims

WWW '19: The World Wide Web Conference

Pages 2736 - 2742

https://doi.org/10.1145/3308558.3313629

Published: 13 May 2019 Publication History

Abstract

We focus on the problem of interlinking Wikipedia tables with fine-grained table relations: equivalent and subPartOf. Such relations allow us to harness semantically related information by accessing related tables or facts therein. Determining the type of a relation is not trivial. Relations are dependent on the schemas, the cell-values, and the semantic overlap of the cell values in tables.

We propose TableNet, an approach for interlinking tables with subPartOf and equivalent relations. TableNet consists of two main steps: (i) for any source table we provide an efficient algorithm to find candidate related tables with high coverage, and (ii) a neural based approach that based on the table schemas and data, determines with high accuracy the fine-grained relation.

Based on an extensive evaluation with more than 3.2M tables, we show that TableNet retains more than 88% of relevant tables pairs, and assigns table relations with an accuracy of 90%.

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Cited By

Dong HWang ZHui Yang GWang HHan SHauff CZuccon GZhang Y(2024)Large Language Models for Tabular Data: Progresses and Future DirectionsProceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3626772.3661384(2997-3000)Online publication date: 10-Jul-2024
https://dl.acm.org/doi/10.1145/3626772.3661384
Sun YXin HChen L(2023)RECA: Related Tables Enhanced Column Semantic Type Annotation FrameworkProceedings of the VLDB Endowment10.14778/3583140.358314916:6(1319-1331)Online publication date: 1-Feb-2023
https://dl.acm.org/doi/10.14778/3583140.3583149
Lu GWang HYang SYuan JYang GZang CChen GZhao J(2023)Catch: Collaborative Feature Set Search for Automated Feature EngineeringProceedings of the ACM Web Conference 202310.1145/3543507.3583527(1886-1896)Online publication date: 30-Apr-2023
https://dl.acm.org/doi/10.1145/3543507.3583527
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cover image ACM Other conferences

WWW '19: The World Wide Web Conference

May 2019

3620 pages

ISBN:9781450366748

DOI:10.1145/3308558

Editors:
Ling Liu
Georgia Tech, USA
,
Ryen White
Microsoft Research, USA

Copyright © 2019 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 13 May 2019

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WWW '19: The Web Conference

May 13 - 17, 2019

CA, San Francisco, USA

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Cited By

Dong HWang ZHui Yang GWang HHan SHauff CZuccon GZhang Y(2024)Large Language Models for Tabular Data: Progresses and Future DirectionsProceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3626772.3661384(2997-3000)Online publication date: 10-Jul-2024
https://dl.acm.org/doi/10.1145/3626772.3661384
Sun YXin HChen L(2023)RECA: Related Tables Enhanced Column Semantic Type Annotation FrameworkProceedings of the VLDB Endowment10.14778/3583140.358314916:6(1319-1331)Online publication date: 1-Feb-2023
https://dl.acm.org/doi/10.14778/3583140.3583149
Lu GWang HYang SYuan JYang GZang CChen GZhao J(2023)Catch: Collaborative Feature Set Search for Automated Feature EngineeringProceedings of the ACM Web Conference 202310.1145/3543507.3583527(1886-1896)Online publication date: 30-Apr-2023
https://dl.acm.org/doi/10.1145/3543507.3583527
Roy RAnand A(2022)Question Answering for the Curated WebundefinedOnline publication date: 10-Mar-2022
https://doi.org/null
Jung J(2021)DG‐based SPO tuple recognition using self‐attention M‐Bi‐LSTMETRI Journal10.4218/etrij.2020-046044:3(438-449)Online publication date: 29-Nov-2021
https://doi.org/10.4218/etrij.2020-0460
Wallace SPapoutsaki ATan NGuo HHuang J(2021)Case Studies on the Motivation and Performance of Contributors Who Verify and Maintain In-Flux Tabular DatasetsProceedings of the ACM on Human-Computer Interaction10.1145/34795925:CSCW2(1-25)Online publication date: 18-Oct-2021
https://dl.acm.org/doi/10.1145/3479592
Wang ZDong HJia RLi JFu ZHan SZhang DZhu FChin Ooi BMiao CWang HSkrypnyk IHsu WChawla S(2021)TUTAProceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining10.1145/3447548.3467434(1780-1790)Online publication date: 14-Aug-2021
https://dl.acm.org/doi/10.1145/3447548.3467434
Yang QCao YLi HLuo PZhu FChin Ooi BMiao CWang HSkrypnyk IHsu WChawla S(2021)Numerical Formula Recognition from TablesProceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining10.1145/3447548.3467425(1986-1996)Online publication date: 14-Aug-2021
https://dl.acm.org/doi/10.1145/3447548.3467425
Wang DShiralkar PLockard CHuang BDong XJiang M(2021)TCN: Table Convolutional Network for Web Table InterpretationProceedings of the Web Conference 202110.1145/3442381.3450090(4020-4032)Online publication date: 19-Apr-2021
https://dl.acm.org/doi/10.1145/3442381.3450090
Heist NPaulheim H(2021)Information Extraction From Co-Occurring Similar EntitiesProceedings of the Web Conference 202110.1145/3442381.3449836(3999-4009)Online publication date: 19-Apr-2021
https://dl.acm.org/doi/10.1145/3442381.3449836
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