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Connecting people across borders: A repository for biographical data models

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Abstract

This paper proposes a practical approach for sharing knowledge about biographical datamodels circumventing issues with copy-right. We furthermore provide the main observations of a study analyzing the data structures of eight biographical resources, two platforms for biographical information and four biographical data models. We outline an approach for designing a generic model that can be used for linking information from different models despite differences in structure.

Original languageEnglish
Title of host publicationBD-2017 Biographical Data in a Digital World 2017
Subtitle of host publicationProceedings of the Second Conference on Biographical Data in a Digital World 2017 Linz, Austria, November 6-7, 2017
EditorsAntske Fokkens, Serge ten Braake, Ronald Sluijter, Paul Arthur, Eveline Wandl-Vogt
PublisherCEUR Workshop Proceedings
Pages83-92
Number of pages10
Publication statusPublished - 2018
Event2nd Conference on Biographical Data in a Digital World, BD 2017 - Linz, Austria
Duration: 6 Nov 20177 Nov 2017

Publication series

NameCEUR Workshop Proceedings
PublisherCEUR Workshop Proceedings
Volume2119
ISSN (Print)1613-0073

Conference

Conference2nd Conference on Biographical Data in a Digital World, BD 2017
Country/TerritoryAustria
CityLinz
Period6/11/177/11/17

Funding

This work was supported by the Amsterdam Academic Alliance Data Science (AAA-DS) Program Award to the UvA and VU Universities and NWO VENI grant 275-89-029 awarded to Antske Fokkens. We furthermore would like to thank researchers involved in the individual projects for providing samples of their data as well as the participants of the BDM workshop in Krakow for their input during discussions. We thank the audience of BD2017 and anonymous reviewers for their useful and detailed feedback. All remaining errors are our own.

FundersFunder number
American Accounting Association
Nederlandse Organisatie voor Wetenschappelijk Onderzoek275-89-029

    Keywords

    • Biographical data models
    • RDF

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