Fuzzy Sets and Systems - Special issue: fuzzy sets: where do we stand? Where do we go?
Ontology-based intelligent healthcare agent and its application to respiratory waveform recognition
Expert Systems with Applications: An International Journal
Ontology-based fuzzy support agent for ship steering control
Expert Systems with Applications: An International Journal
Handbook on Ontologies
Granular computing applied to ontologies
International Journal of Approximate Reasoning
Foreword to the special section on computing with words
IEEE Transactions on Fuzzy Systems - Special section on computing with words
Fuzzy ontology representation using OWL 2
International Journal of Approximate Reasoning
DeLorean: A reasoner for fuzzy OWL 2
Expert Systems with Applications: An International Journal
Ontologies versus relational databases: are they so different? A comparison
Artificial Intelligence Review
An approach to automatic learning assessment based on the computational theory of perceptions
Expert Systems with Applications: An International Journal
Aggregation operators for fuzzy ontologies
Applied Soft Computing
I-struve: Automatic linguistic descriptions of visual double stars
Engineering Applications of Artificial Intelligence
Hi-index | 12.05 |
New technologies allow users to access huge amounts of data about phenomena in their environment. Nevertheless, linguistic description of these available data requires that human experts interpret them highlighting the relevant details and hiding the irrelevant ones. Experts use their personal experience on the described phenomenon and in using the flexibility of natural language to create their reports. In the research line of Computing with Words and Perceptions, this paper deals with the challenge of using ontologies to create a computational representation of the expert's knowledge including his/her experience on both the context of the analyzed phenomenon and his/her personal use of language in that specific context. The proposed representation takes as basis the Granular Linguistic Model of a Phenomenon previously proposed by two of the authors. Our approach is explained and demonstrated using a series of practical prototypes with increasing degree of complexity.