Reflexive Ontologies: Enhancing Ontologies With Self-Contained Queries

Toro, Carlos; Sanín, Cesar; Szczerbicki, Edward; Posada, Jorge

doi:10.1080/01969720701853467

Cited by 27 publications

(31 citation statements)

References 8 publications

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“…As can be seen, it is quite important to have a good flow of information between all the modules and sub-modules of our architecture and since all the KBs are modeled as ontologies, the most natural approach in order to enhance the massive use of queries over such KB was to develop a technique that provides us with a mechanism that save time by accessing the KB only when needed. The RO concept was introduced in [8] and the concept was also used by Cobos et.al in [16].…”

Section: The Reasoning Modulementioning

confidence: 99%

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An Architecture for the Semantic Enhancement of Virtual Engineering Applications

Toro

Graña

Posada

et al. 2009

Intelligent Systems for Knowledge Management

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Abstract. Virtual Engineering (VE) is defined as the integration of geometric models and related engineering tools (such as analysis, simulation, optimization and decision-making, etc), within a computerized environment that facilitates multidisciplinary and collaborative product development [1]. The focus of Virtual Engineering is to engage the human capacity for evaluation of complex systems and situations [2]. In this article, we present an architecture for the Semantic enhancement of Virtual Engineering Applications (VEA) through their embedded Virtual Engineering Tools. Our architecture follows a UserIntention-Domain schema and makes use of state of the art technologies like the Set of Experience Knowledge Structure and the Reflexive Ontologies in order to offer a better User experience with VEA. The main advantages of using Semantics in VEA can be summarized are: (i) an improved information and embedded Knowledge management, (ii) Enhancements in the search, knowledge and information sharing processes during the use of the VEA, (iii) The use of the intrinsic Knowledge embedded in the elements being described by the VEA and (iv) the empowerment of the User's knowledge and embedding of such knowledge in a structured and explicit conceptualization.

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Section: The Reasoning Modulementioning

confidence: 99%

“…RO are a computational methodology for the enhancement of the ontology query process introduced by Toro et.al in [8]. A RO is a description of the concepts and relations of such concepts with a set of self-contained queries over instances in the domain of study.…”

Section: The Reflexive Ontologies (Ro)mentioning

confidence: 99%

An Architecture for the Semantic Enhancement of Virtual Engineering Applications

Toro

Graña

Posada

et al. 2009

Intelligent Systems for Knowledge Management

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“…When an abstract knowledge structure is able to maintain, in a persistent manner, every query performed on it and store those queries as individuals of a class that extends the original ontology, it is said that such ontology is reflexive. Thus, Toro et al (2007a) proposed the following definition for a Reflexive Ontology: ''A Reflexive Ontology is a description of the concepts and the relations of such concepts in a specific domain, enhanced by an explicit self contained set of queries over the instances.'' Therefore, any RO is an abstract knowledge structure with a set of structured contents and relationships and all the mathematical concepts of a set can be applied to it as a way of formalization and handling.…”

Section: Ontologies and Reflexive Ontologies (Ro)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…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.…”

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confidence: 99%

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Combining Technologies to Achieve Decisional Trust

Sanín

Szczerbicki

Toro

2008

Cybernetics and Systems

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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. 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 ...

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