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CoVoMe: New Methodology for Building Controlled Vocabulary

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Metadata and Semantic Research (MTSR 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1537))

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Abstract

The use of methodologies in knowledge management and engineering is deeply comprehensive due to their important advantages. In this paper, we propose CoVoMe that is a methodology for building controlled vocabularies. This methodology covers almost all variants of that vocabularies, and it is designed to be close to the currently available languages for creating thesauri, subject headings, taxonomies, authority files, synonym rings, and glossaries.

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Notes

  1. 1.

    dcterms:hasPart is not a part of SKOS but sometimes is used to define coordinations.

  2. 2.

    SKOS-XL is an extension for SKOS.

  3. 3.

    dcterms:references is not a part of SKOS but sometimes is used to define non-symmetric associative relations.

  4. 4.

    GVP is an extension of ISO 25964 [1].

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Author information

Authors and Affiliations

  1. Institute of Computer Science, University of Bialystok, Bialystok, Poland

    Dominik Tomaszuk

Authors
  1. Dominik Tomaszuk
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Correspondence to Dominik Tomaszuk .

Editor information

Editors and Affiliations

  1. International Hellenic University, Thessaloniki, Greece

    Emmanouel Garoufallou

  2. Complutense University of Madrid, Madrid, Spain

    María-Antonia Ovalle-Perandones

  3. University College London, London, UK

    Andreas Vlachidis

A Used Namespaces

A Used Namespaces

Prefix

Namespace

Representation

dcterms

http://purl.org/dc/terms/

RDF

gvp

http://vocab.getty.edu/ontology#

RDF

iso-thes

http://iso25964.org/

XML

http://purl.org/iso25964/skos-thes#

RDF

mads

http://www.loc.gov/mads/v2

XML

http://www.loc.gov/mads/rdf/v1#

RDF

skos

http://www.w3.org/2004/02/skos/core#

RDF

skos-xl

http://www.w3.org/2008/05/skos-xl#

RDF

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Tomaszuk, D. (2022). CoVoMe: New Methodology for Building Controlled Vocabulary. In: Garoufallou, E., Ovalle-Perandones, MA., Vlachidis, A. (eds) Metadata and Semantic Research. MTSR 2021. Communications in Computer and Information Science, vol 1537. Springer, Cham. https://doi.org/10.1007/978-3-030-98876-0_4

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  • DOI: https://doi.org/10.1007/978-3-030-98876-0_4

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