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Quality Assessment of Library Linked Data: a Case Study

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Knowledge Graphs and Semantic Web (KGSWC 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1459))

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Abstract

The linked data principles provide an efficient way to interlink resources across several datasets, improving interoperability and discoverability. Several digital libraries around the world are publishing their legacy data from catalogs and authority files following the linked data principles. However, selecting the most suitable datasets for creating links between them is becoming a complex task due to most of them not having the proper data quality. In this paper, we evaluate the quality of data of the LinkedDL dataset. The results are compared to four other datasets in the state-of-the-art. The evaluation showed promising results in the accuracy, consistency, and accessibility metrics.

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Notes

  1. 1.

    https://yhdelgado.github.io/linkeddl/.

  2. 2.

    https://www.w3.org/RDF/Validator/.

  3. 3.

    http://www.wikidata.org/entity/Q50816707.

  4. 4.

    https://data.infocientia.com/resource/journal/2307-2113.

  5. 5.

    https://linkeddatafragments.org/.

  6. 6.

    Google Colab.

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Acknowledgments

We thank the anonymous reviewers for their careful reading of our manuscript and their many insightful comments and suggestions.

Author information

Authors and Affiliations

  1. Departamento de Informática, Universidad de las Ciencias Informáticas, Havana, Cuba

    Yusniel Hidalgo-Delgado, Yoan A. López & Juan Pedro Febles Rodríguez

  2. Centro de Investigaciones en Informática, Universidad Central “Marta Abreu” de Las Villa, Santa Clara, Cuba

    Amed Leiva Mederos

Authors
  1. Yusniel Hidalgo-Delgado
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  2. Yoan A. López
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  3. Juan Pedro Febles Rodríguez
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  4. Amed Leiva Mederos
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Corresponding author

Correspondence to Yusniel Hidalgo-Delgado .

Editor information

Editors and Affiliations

  1. Tinamica/Universidad Internacional de la Rioja, Madrid, Madrid, Spain

    Boris Villazón-Terrazas

  2. Tamaulipas Autonomous University, Ciudad Victoria, Mexico

    Fernando Ortiz-Rodríguez

  3. Tamaulipas Autonomous University, Ciudad Victoria, Mexico

    Sanju Tiwari

  4. Texas A&M University – Kingsville, Kingsville, TX, USA

    Ayush Goyal

  5. Vardhaman College of Engineering, Hyderabad, Telangana, India

    MA Jabbar

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Hidalgo-Delgado, Y., López, Y.A., Rodríguez, J.P.F., Mederos, A.L. (2021). Quality Assessment of Library Linked Data: a Case Study. In: Villazón-Terrazas, B., Ortiz-Rodríguez, F., Tiwari, S., Goyal, A., Jabbar, M. (eds) Knowledge Graphs and Semantic Web. KGSWC 2021. Communications in Computer and Information Science, vol 1459. Springer, Cham. https://doi.org/10.1007/978-3-030-91305-2_8

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  • DOI: https://doi.org/10.1007/978-3-030-91305-2_8

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