The knowledge graph track at OAEI : Gold standards, baselines, and the golden hammer bias

Hertling, Sven ; Paulheim, Heiko

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DOI: tba
URN: urn:nbn:de:bsz:180-madoc-541815
Document Type: Conference or workshop publication
Year of publication: 2020
Book title: The Semantic Web: ESWC 2020
Page range: 1-16
Conference title: ESWC 2020
Location of the conference venue: Heraklion, Crete, Greece
Date of the conference: 31.05.-04.06.2020
Author/Publisher of the book
(only the first ones mentioned)
Harth, Andreas
Place of publication: Heidelberg
Publishing house: Springer
Publication language: English
Institution: School of Business Informatics and Mathematics > Web Data Mining (Paulheim 2018-)
Subject: 004 Computer science, internet
Keywords (English): Ontology Matching , Instance Matching , Knowledge Graph
Abstract: The Ontology Alignment Evaluation Initiative (OAEI) is an annual evaluation of ontology matching tools. In 2018, we have started the Knowledge Graph track, whose goal is to evaluate the simultaneous matching of entities and schemas of large-scale knowledge graphs. In this paper, we discuss the design of the track and two different strategies of gold standard creation. We analyze results and experiences obtained in first editions of the track, and, by revealing a hidden task, we show that all tools submitted to the track (and probably also to other tracks) suffer from a bias which we name the golden hammer bias.

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Hertling, Sven ORCID: 0000-0003-0333-5888 ; Paulheim, Heiko ORCID: 0000-0003-4386-8195 The knowledge graph track at OAEI : Gold standards, baselines, and the golden hammer bias. Open Access Harth, Andreas 1-16 In: The Semantic Web: ESWC 2020 (2020) Heidelberg ESWC 2020 (Heraklion, Crete, Greece) [Conference or workshop publication]

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