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A computational analysis of art historical linked data for assessing authoritativeness of attributions

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  • Marilena Daquino

Abstract

In this article a comparative analysis of art historical linked open data are presented. The result of the analysis is a conceptual framework of Information Quality (IQ) measures designed for validating contradictory sources of attribution on the basis of a documentary, evidence‐based approach. The aim is to develop an ontology‐based ranking model for recommending artwork attributions and support historians and catalogers' decision‐making process. The conceptual framework was evaluated by means of a user study and the evaluation of a web application leveraging the aforementioned ranking model. The results of the survey demonstrate that the findings satisfy users' expectations and are potentially applicable to other types of information in the arts and humanities field.

Suggested Citation

  • Marilena Daquino, 2020. "A computational analysis of art historical linked data for assessing authoritativeness of attributions," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 71(7), pages 757-769, July.
    • Handle: RePEc:bla:jinfst:v:71:y:2020:i:7:p:757-769
    DOI: 10.1002/asi.24301
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    References listed on IDEAS

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    1. Soo Young Rieh, 2002. "Judgment of information quality and cognitive authority in the Web," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 53(2), pages 145-161.
    2. Martin Doerr, 2009. "Ontologies for Cultural Heritage," International Handbooks on Information Systems, in: Steffen Staab & Rudi Studer (ed.), Handbook on Ontologies, pages 463-486, Springer.
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