A curation model to integrate digital heritage collections published on the Web as Linked Open Data

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Carlos Marcondes

Abstract

Context: Heritage objects have been represented and published on the Web as
Linked Open Data - LOD. Such collections have cultural value because they are the
result of curation processes carried out by these institutions; many have thematic
intersections or are related to other web resources. The potential of these
initiatives depends on which digital objects from these collections are integrated,
related to each other and to other entities such as authors, themes, events,
historical periods and places. This integration is not “a priori”, it is the result of
curation “a posteriori” to the publication of the collections as LOD. Vocabularies
and classification schemes are important as they provide meaning and context to
the data.
Problem: How to integrate digital objects from these collections with each other
and with other resources, forming curated, permanent information resources with
greater cultural value, such as exhibitions, classes, museums or virtual libraries on
themes, characters or cultural or historical events?
Objectives: Integrate previously developed vocabularies - Culturally Relevant
Relationships - CRR - and Classification of Types of Heritage Objects - TOP -, among
others, into a curation model for digital heritage objects - MIC - to make them
permanent resources, copyright and reusable.
Methodology: bibliographic and documental research, analysis of
vocabularies/ontologies, identification of usage requirements to be used in the
development and evaluation of the model.
Results: The MIC is presented as a class diagram, and validated by the tasks of the
digital curator and users. The model integrates several vocabularies, models and
ontologies. An implementation of MIC is presented as a named graph.

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Research Articles

How to Cite

A curation model to integrate digital heritage collections published on the Web as Linked Open Data. (2022). Advances in Knowlegde Representation Avanços Em Representação Do Conhecimento, 2(2), 26-56. https://periodicos.ufmg.br/index.php/advances-kr/article/view/41885