Abstract: With the expressive amount of terms and concepts generated over the years for all the existing domains, a formalization and possible validation of such domains were given as necessity. In the medical field, for example, more precisely in the field of implantology, terms are used daily in different ways around the world. The standardization of such terms is extremely important for human and machine understanding, thus creating a semantic interoperability between both systems. Thus, the use of ontologies as a method of knowledge formalization has been an approach to benefit the human understanding for any real domain. Applying this method to the area of implantology, ontological basis comes to benefit the professional dental surgeon at the time of decision making in choosing which type of dental implant to be applied to each particular case. This method consists of determining which implant is to be applied before a numerous physiological parameters of the patient compared to structural parameters of existing dental implants. For this method to be a real application, the formalized ontologies must contain and supply all essential data related to this domain. Therefore, this project focuses on the formalization of an ontological basis aimed at the application of a dental implant before physiological human and implant variables by itself. In order to obtain the results, it is essential to keep in mind the real meaning of the semantics and interoperability concepts, which should be applied together to the formalization of an ontology. In addition, it is necessary to analyze the application of these concepts in the dental field so that a case study based on the formalized ontology can be applied later. The formalization of the ontology was made based on Protégé software created by specialists of the university of Stanford in California. The results showed that not only an efficient but also effective solution for such an application was obtained, making the decision of dental professionals simpler with lower failure rates and better acceptance of the patient's body in relation to osseointegration.