Ontologies are formal models that describe the semantics ofdomain knowledge in order to facilitate automatic processing and providereasoning possibilities. In the context of this work, we aim at designingan ontology for assisting data and event extraction from text corpora insocial medias. These items extracted will be used as input for meningi-tis spreading simulation within a surveillance system. In this paper, wedescribe the methodology we propose for building such an ontology. Ourapproach is based on the reuse of some NeOn scenarios and the use ofan annotation tool for text corpus of the biomedical domain. This tooltakes as input a text corpus on meningitis and allows us to identify rel-evant ontological resources. The paper is ending by presenting examplesof conceptual models resulting from the application of the first step ofour methodology

Ontology · Meningitis · Annotation · Text corpus · Neon