Artificial intelligence: a personal, commonsense journey
Artificial intelligence: a personal, commonsense journey
Toward principles for the design of ontologies used for knowledge sharing
International Journal of Human-Computer Studies - Special issue: the role of formal ontology in the information technology
REFLEXIVE ONTOLOGIES: ENHANCING ONTOLOGIES WITH SELF-CONTAINED QUERIES
Cybernetics and Systems
Knowledge based industrial maintenance using portable devices and augmented reality
KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part I
Knowledge sharing by information retrieval in the semantic web
ESWC'05 Proceedings of the Second European conference on The Semantic Web: research and Applications
Using XML for implementing set of experience knowledge structure
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
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In this article we introduce the necessary elements needed to integrate a decisional technology that offers a level of trust that enables them to be used for the implementation of decisional trust systems. Thus, we refer to this approach as decisional trust, which can be achieved through the use of elements such as decisional DNA, reflexive ontologies, and security technologies. Decisional trust operates on three fronts: (1) the construction of decisional DNA as a knowledge structure capable of collecting an organization's decisional fingerprints; (2) the construction of Reflexive Ontologies as descriptions of concepts and relations with a set of selfcontained queries in a domain of study; and (3) the addition of security technologies. Our approach extends the use of Decisional DNA and Reflexive Ontologies with the aim of offering trustable decisions, and introduces elements for the exploitation of embedded, trustable, decisional knowledge which, added to security elements, can lead to trustable technologies. Fully developed, it would advance the notion of administering trustable knowledge in the current decision making environment.