Modelo CIDOC CRM

interoperabilidade semântica de informações culturais

Authors

DOI:

https://doi.org/10.36311/1981-1640.2016.v10n1.07.p56

Keywords:

Ontologias, Interoperabilidade semântica, Patrimônio cultural

Abstract

This article aims to present the CIDOC CRM model, a standard available to integrating cultural information from various sources. It is a formal ontology of reference, which seeks to meet a growing demand for targeted research, comparative studies, data transfer and data migration between heterogeneous sources of cultural content. Like most applications is performed in relatively similar environments, the complexity of the application becomes negligible between systems. The survey relied on a theoretical research, with literature review exploring conceptual representations and trying to understand the potential of this international standard model (ISO 21127), multidisciplinary and that has as one of its objectives to correct the imbalance of the problems that computing's scientists and system implementers have to understand the logic of cultural concepts. It follows that ontologies are not specific to only one domain. A number of areas and different subdomains uses the same basic concepts. Understood to be on a notion of scientific method shows that this model is useful in various fields and has been able to do it with a very small set of concepts. This model provides great ability to move data between different groups with semantic richness. CRM shows that the description of the semantic problems that involves common language is not only errorprone, with a risk of inaccuracy and a degree of ambiguity, despite all the efforts being undertaken for a precision argument.

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Author Biography

  • Hercules Pimenta Santos, Universidade Federal de Minas Gerais

    Departamento de Organização e Tratamento da Informação - ECI/UFMG

References

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Published

2016-03-01

Issue

Section

Papers

How to Cite

“Modelo CIDOC CRM: Interoperabilidade semântica De informações Culturais”. Brazilian Journal of Information Science: Research Trends, vol. 10, no. 1, Mar. 2016, https://doi.org/10.36311/1981-1640.2016.v10n1.07.p56.