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Presentation . 2022
License: CC BY
Data sources: Datacite
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Presentation . 2022
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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Other literature type . 2022
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A LITL more quality: Improving the correctness and completeness of library catalogs with a Librarian-In-The-Loop Linked Data Workflow

Authors: Lieber, Sven; Van Camp, Ann; Lowagie, Hannes;

A LITL more quality: Improving the correctness and completeness of library catalogs with a Librarian-In-The-Loop Linked Data Workflow

Abstract

A presentation given at the Semantic Web in Libraries (SWIB) conference on November 28, 2022. The presentation focuses on what data quality even is, which quality procedures we have at the Royal Library of Belgium and how using your data will likely reveal (subtle) more quality issues. I briefly present the BELTRANS research project and how it motivated our Librarian-In-The-Loop workflow, in which a librarian is presented with CSV files of possibly wrong data. The incorrectness is not apparent in a record, but is revealed when displaying the record next to another record linked via schema:sameAs. The librarian can indicate what is wrong and correct with different CSV files which are used to correct the data in a semi-automatic fashion. We present the use case, the workflow and lessons learned!

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Keywords

BELTRANS, ISBN, RML, SPARQL, human in the loop, RDF, legal deposit, KBR, data quality, MARC, CSV, ISNI, librarian in the loop

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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