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
Valuation of Trust in Open Networks
ESORICS '94 Proceedings of the Third European Symposium on Research in Computer Security
A Subjective Metric of Authentication
ESORICS '98 Proceedings of the 5th European Symposium on Research in Computer Security
Establishing trust in pure ad-hoc networks
ACSC '04 Proceedings of the 27th Australasian conference on Computer science - Volume 26
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
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
The E-Decisional Community: an integrated knowledge sharing platform
APCCM '10 Proceedings of the Seventh Asia-Pacific Conference on Conceptual Modelling - Volume 110
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This article introduces the elements that we replaced together in order to achieve a decisional technology that can offer trust. Thus, we refer to it as Decisional Trust. Enhancing a decisional knowledge system with trust means that the user relies on what the system knows and that the system possesses a qualified reliance on received knowledge. Our proposal works in two fronts:(i) the construction of Reflexive Ontologies; and (ii)the construction of Decisional DNA. Then, we add trust models in order to gain certainty based upon the past decisional experience, and just until then, we can refer to the system as a Decisional Trust System. Additionally, an augmented reality (AR)maintenance system is improved by adding the elements of decisional trust. This framework improves the quality of decision-making, and advances the notion of administering trustable knowledge in the current decision making environment.