An OWL Ontology of Set of Experience Knowledge Structure

dc.creatorSanín,Cesar
dc.creatorSzczerbicki,Edward
dc.creatorToro,Carlos
dc.date2007
dc.date.accessioned2024-02-06T12:55:06Z
dc.date.available2024-02-06T12:55:06Z
dc.descriptionCollecting, 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.
dc.formattext/html
dc.identifierhttps://doi.org/10.3217/jucs-013-02-0209
dc.identifierhttps://lib.jucs.org/article/28738/
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/9270
dc.languageen
dc.publisherJournal of Universal Computer Science
dc.relationinfo:eu-repo/semantics/altIdentifier/eissn/0948-6968
dc.relationinfo:eu-repo/semantics/altIdentifier/pissn/0948-695X
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightsJ.UCS License
dc.sourceJUCS - Journal of Universal Computer Science 13(2): 209-223
dc.subjectknowledge acquisition
dc.subjectknowledge representation formalism and method
dc.subjectartificial intelligence
dc.subjectinformation_systems_applications
dc.subjectsemantic networks
dc.titleAn OWL Ontology of Set of Experience Knowledge Structure
dc.typeResearch Article
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