A cognitive model for context dependent fuzzy knowledge

Eksioglu, K.M.; Lachiver, G.

doi:10.1109/nafips.1999.781732

Cited by 2 publications

(2 citation statements)

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“…Context dependency is a major issue that was treated in [18] about fuzzy knowledge. The authors present a model where knowledge is processed with respect to its surrounding context.…”

Section: Related Workmentioning

confidence: 99%

Context and Encapsulation Modeling for Knowledge Reuse

Bouabana-Tebibel

Rubin

Chebba

2015

2015 IEEE International Conference on Information Reuse and Integration

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Reuse requires high-level representation models. Ontology is commonly defined as a formal specification of knowledge conceptualization in a consensual form. OWL (Web Ontology Language) is the most used and expressive ontology description language that supports handling and reasoning. However, it lacks expressivity for some specific requirements. We propose, in this paper, to augment OWL with a new construct, named AssemblyRange, to enhance representation of grouped knowledge present in design. Such knowledge is materialized in the notions of concept context and concept encapsulation. It is illustrated in our work through the specific domain of cooling systems. The added element enhances the expressivity of OWL for reuse while preserving its semantics.

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“…Context dependency is a major issue that was treated in [18] about fuzzy knowledge. The authors present a model where knowledge is processed with respect to its surrounding context.…”

Section: Related Workmentioning

confidence: 99%

Context and Encapsulation Modeling for Knowledge Reuse

Bouabana-Tebibel

Rubin

Chebba

2015

2015 IEEE International Conference on Information Reuse and Integration

View full text Add to dashboard Cite

show abstract

“…the output representative values of the FL control system, exhibit the features of "short-term memory", reacting to higher frequency components of the system excitation signal. A description of cognitive functions of fuzzy systems and longterm and short-term memory is given in [12].…”

Section: Introductionmentioning

confidence: 99%