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January 15, 2024 by Gary Price

Journal Article: “Quality Assessment of Research Comparisons in the Open Research Knowledge Graph: A Case Study”

January 15, 2024 by Gary Price

The article linked below was published online today by JLIS.it: Italian Journal of Library, Archives and Information Science.

Title

Quality Assessment of Research Comparisons in the Open Research Knowledge Graph: A Case Study

Authors

Jennifer D’Souza
TIB Leibniz Information Centre for Science and Technology

Julia Evans
TIB Leibniz Information Centre for Science and Technology

Lars Vogt
TIB Leibniz Information Centre for Science and Technology

Oliver Karras
TIB Leibniz Information Centre for Science and Technology

Vinodh Ilangovan
TIB Leibniz Information Centre for Science and Technology

Anna-Lena Lorenz
TIB Leibniz Information Centre for Science and Technology

Sören Auer
TIB Leibniz Information Centre for Science and Technology

Source

JLIS.it: Italian Journal of Library, Archives and Information Sciencel, 15 (1)
DOI: 10.36253/jlis.it-547

Abstract

The Open Research Knowledge Graph (ORKG) is a digital library for machine-actionable scholarly knowledge, with a focus on structured research comparisons obtained through expert crowdsourcing. While the ORKG has attracted a community of more than 1,000 users, the curated data has not been subject to an in-depth quality assessment so far. Here, proposed as a first exemplary step, within a team of domain experts, we evaluate the quality of six selected ORKG Comparisons based on three criteria, namely: 1) the quality of semantic modelling, 2) the maturity of the Comparisons in terms of their completeness, syntactic representation, identifier stability, and their linkability mechanisms ensuring the interoperability and discoverability. Finally, 3) the informative usefulness of the Comparisons to expert and lay users. We have found that each criterion addresses a unique and independent aspect of quality. Backed by the observations of our quality evaluations presented in this paper, a fitting model of knowledge graph quality appears one that is indeed multidimensional as ours.

Source: 10.36253/jlis.it-547

Direct to Full Text Article
18 pages; PDF.

Filed under: Archives and Special Collections, Data Files, Digital Collections, Interactive Tools, Journal Articles, Libraries, News, Patrons and Users, Reports

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About Gary Price

Gary Price (gprice@gmail.com) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area. He earned his MLIS degree from Wayne State University in Detroit. Price has won several awards including the SLA Innovations in Technology Award and Alumnus of the Year from the Wayne St. University Library and Information Science Program. From 2006-2009 he was Director of Online Information Services at Ask.com.

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