JUCS - Journal of Universal Computer Science 13(2): 209-223, doi: 10.3217/jucs-013-02-0209
An OWL Ontology of Set of Experience Knowledge Structure
expand article infoCesar Sanín‡, Edward Szczerbicki§, Carlos Toro|
‡ University of Newcastle, Newcastle, Australia§ Gdansk University of Technology, Gdansk, Poland| VICOMTech Research Centre, Spain

Corresponding author: Cesar Sanín ( cesar.maldonadosanin@newcastle.edu.au )

© Cesar Sanín, Edward Szczerbicki, Carlos Toro.
This article is freely available under the J.UCS Open Content License.
Citation: Sanín C, Szczerbicki E, Toro C (2007) An OWL Ontology of Set of Experience Knowledge Structure. JUCS - Journal of Universal Computer Science 13(2): 209-223. https://doi.org/10.3217/jucs-013-02-0209
Open Access
Abstract
Collecting, distributing and sharing knowledge in a knowledge-explicit way is a significant task for any company. However, collecting decisional knowledge in the form of formal decision events as the fingerprints of a company is an utmost advance. Such decisional fingerprint is called decisional DNA. Set of experience knowledge structure can assist on accomplishing this purpose. In addition, Ontology-based technology applied to set of experience knowledge structure would facilitate distributing and sharing companies' decisional DNA. Such possibility would assist in the development of an e-decisional community, which will support decision-makers on their overwhelming job. The purpose of this paper is to explain the development of .an OWL decisional Ontology built upon set of experience, which would make decisional DNA, that is, explicit knowledge of formal decision events, a useful element in multiple systems and technologies, as well as in the construction of the e-decisional community.
Keywords
knowledge acquisition, knowledge representation formalism and method, artificial intelligence, information_systems_applications, semantic networks