SOTAB: The WDC table annotation benchmark

Korini, Keti ; Peeters, Ralph ; Bizer, Christian

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URN: urn:nbn:de:bsz:180-madoc-638689
Document Type: Conference or workshop publication
Year of publication: 2022
Book title: SemTab 2022 : Proceedings of the Semantic Web Challenge on Tabular Data to Knowledge Graph Matching, co-located with the 21st International semantic Web Conference (ISWC 2022), virtual conference, October 23-27, 2022
The title of a journal, publication series: CEUR Workshop Proceedings
Volume: 3320
Page range: 14-19
Conference title: SemTab 2022, Semantic Web Challenge on Tabular Data to Knowledge Graph Matching
Location of the conference venue: Online
Date of the conference: 23.-27.10.2022
Publisher: Efthymiou, Vasilis ; Jiménez-Ruiz, Ernesto ; Chen, Jiaoyan ; Cutrona, Vincenzo ; Hassanzadeh, Oktie ; Sequeda, Juan ; Srinivas, Kavitha ; Abdelmageed, Nora ; Hulsebos, Madelon
Place of publication: Aachen, Germany
Publishing house: RWTH Aachen
ISSN: 1613-0073
Related URLs:
Publication language: English
Institution: School of Business Informatics and Mathematics > Information Systems V: Web-based Systems (Bizer 2012-)
Pre-existing license: Creative Commons Attribution 4.0 International (CC BY 4.0)
Subject: 004 Computer science, internet
Keywords (English): table annotation , column type annotation , column property annotation ,
Abstract: Understanding the semantics of table elements is a prerequisite for many data integration and data discovery tasks. Table annotation is the task of labeling table elements with terms from a given vocabulary. This paper presents the WDC Table Annotation Benchmark (SOTAB) for comparing the performance of table annotation systems. SOTAB covers the column type annotation (CTA) and columns property annotation (CPA) tasks. SOTAB provides ∼50,000 annotated tables for each of the tasks containing data from different websites. The tables cover 17 different types of entities such as movie, event, local business, recipe, job posting, or product. The tables stem from the WDC Table Corpus which was created by extracting annotations from the Common Crawl. Consequently, the labels used for annotating columns in SOTAB are part of the vocabulary. The benchmark covers 91 types for CTA and 176 properties for CPA distributed across textual, numerical and date/time columns. The tables are split into fixed training, validation and test sets. The test sets are further divided into subsets focusing on specific challenges, such as columns with missing values or different value formats, in order to allow a more fine-grained comparison of annotation systems. The evaluation of SOTAB using Doduo and TURL shows that the benchmark is difficult to solve for current state-of-the-art systems.

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