Combining Technologies to Achieve Decisional Trust

Abstract

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. INTRODUCTIONSemantic technologies constitute one of the most interesting technologies derived from the World Wide Web revolution. It is a field constantly reviewed in different areas of knowledge, and its greatest improvements for information and knowledge technologies are still there to be discovered.According to some members of the scientific community, it is true that the whole concept of the semantic Web presented by Tim BernersLee in his foundational article (Berners-Lee et al. 2001) is not reached yet; however, the improvements present in today's Web sites and search engines are not to be underestimated.Within the myriads of semantic based techniques available, great attention has been given to ontologies and how their implementation and use enhances real world applications that are not directly related to the Web itself. Ontologies offer great flexibility and capability to model specific domains, and hence, conceptualize the portion of reality to which such domain refers. Nevertheless, it is not enough to have a good modeled ontology fed with real world instances (individuals) from trustable sources of information; nowadays, it is of the utmost importance to enhance such technologies with decisional capabilities that can rapidly offer trustable knowledge. Concerning this, the introduction of concepts such as the Set of Experience Knowledge Structure (SOEKS or SOE), Decisional DNA (Sanin and Szczerbicki 2005a) and Reflexive Ontologies (RO) (Toro et al. 2007a) had led to alternative technologies that can offer trustable knowledge.On one hand, the SOE is a knowledge structure that allows for the acquisition and storage of formal decision events in a knowledge-explicit form. It comprises variables, functions, constraints, and rules associated in a DNA-shape, allowing for the construction of the Decisional DNA of an organization.On the other hand, the RO technique can be used to add ...

Mediated Competency Comparison between Job Descriptions and University Courses

“…One way to solve problems of interoperability is to use domain ontologies for representing conceptualization [14], [15]. However usually Industries do not maintain their own ontologies to formally define knowledge and skills, therefore standardized competence frameworks were used instead of ontologies to facilitate initial knowledge exchange and to obtain initial mapping between courses and job positions.…”