Abstract

The need of extracting significant knowledge in medicine is a crucial topic due to its helpful and relevance in the diagnosis and treatment of patients. Ontologies have demonstrated be a powerful tool for representation and inference from knowledge. The numbers of published works in this topic is growing in exponential manners and show the importance of this area. However it is necessary incorporate new technologies to make more successful the use and distribution of these ontologies closer to the natural mechanisms of representation and inference from knowledge. In this order, fuzzy logic has potential to contribute with more flexible schemes to represent the knowledge. Therefore, the fuzzy ontologies are a new mechanism to describe better knowledge and its application to the medical field. In these sense, this work presents a practical approach to enrich a fuzzy ontology through the use of fuzzy queries. The data used in this paper comes from The Gait Laboratory Database of the Orthopedic Children Hospital in Caracas, Venezuela. The fuzzy query language SQLf was used because its expressive power and its completeness.