Services on Demand
Journal
Article
Indicators
- Cited by SciELO
- Access statistics
Related links
- Similars in SciELO
Share
Computación y Sistemas
On-line version ISSN 2007-9737Print version ISSN 1405-5546
Abstract
CASTILLO, Esteban; CERVANTES, Ofelia; MEDINA, María Auxilio and ZECHINELLI-MARTINI, José Luis. Ontological Modeling of POHUA: An Institutional Knowledge Repository. Comp. y Sist. [online]. 2019, vol.23, n.4, pp.1291-1304. Epub Aug 09, 2021. ISSN 2007-9737. https://doi.org/10.13053/cys-23-4-2998.
This paper presents an ontology-based proposal for a digital repository called POHUA. The relevance of this paper relies on the theoretical and practical description of the performed steps of an ontological design process: gathering domain specific metadata, discovering relevant classes, modeling relationships among these classes and creating instances that show the semantic expressiveness of a digital repository. For each step, all the aspects involved in a knowledge representation tool (Protégé) are presented and discussed pointing out main highlights. The paper's main contribution includes a characterization of a specific university repository, the extraction and analysis of concepts and the specification of properties, restrictions and rules that represent all the key aspects associated to the deployment of an institutional repository.
Keywords : Open access repositories; ontologies; Protégé; OWL; RDF; metadata; classes; relationships; instances.