For Information Science, ontologies represent a set of concepts within a domain and the relationships among them. In Artificial Intelligence, ontologies are applied for knowledge representation and can be used to define a domain, usually known as the world, and to reason about their properties, by providing a vocabulary and a specification of the meaning of each term in the domain. Their use includes business and scientific applications, reuse and processing knowledge about a domain. Peponapis genus (Eucerini, Apidae) has Neotropical distribution and is composed of solitary bees, which build their nest on the ground. All species are oligoletic and forage in Cucurbita flowers, a genus that presents some important agricultural species such as squashes and pumpkins. Peponapis are also considered the main Cucurbita pollinators. Thus, the domain description and the study of the relationships among Peponapis and Cucurbita are relevant, which can be provided by ontologies. Inferences over the ontology could produce, for example, the relationship between geographical distribution of Peponapis and Cucurbita, and the possibility of increasing Peponapis population by increasing the area cultivated with Cucurbita. In this work, fourteen Peponapis and sixteen Cucurbita species were chosen for modelling the ontology. Choices were based on genera reviews and Cu-curbita species were split into cultivated and native, to allow separate analysis. Previous ecological niche modelling studies were developed for all species. Generated models were applied to better understand some aspects of these species and their distribution, specifically those related to climatic variables (e.g. temperature and precipitation). Thus, modelling results were also applied as inputs for the ontology definition. The Web Ontology Language, OWL, is a W3C recommendation for designing applications that need to process the content of information instead of just presenting data. As part of W3C Semantic Web Activity, OWL enhances the functionality and interoperability of the results obtained on the Web. Several tools and Application Programming Interfaces, APIs, are available as results of OWL technology implementations. In this work, Prot?g?-OWL, a free, open source, ontology editor and knowledge-base framework is applied in the modelling of the presented ontology. A key feature is that Prot?g? ontologies can be exported into a variety of formats, including RDF and XML Schemas, which are important characteristics for distributed systems. Besides presenting the ontology for relating Peponapis and Cucurbita genera, the development process to implement the ontology in this work may be used as a reference to further similar developments.