Mental illness represent a large part of public health problems worldwide. Additionally, mental health managers need to make decisions based on complex data from dispersed sources with low levels of standardization and integration. This generally hinders knowledge extraction and its use as a reference to provide useful indicators and reports for efficient decision making. In this context, the interoperability between Information Systems is an essential characteristic to establish the capacity of communication, exchange and reuse of information for the generation of knowledge. In order to reduce the data complexity and to assist in the data interpretation, Semantic Web technology can be used. It classifies the stored information with metadata and give them meaning and thematic through the use of ontologies. Therefore, given the importance of mental health and the need for quality data, this article aims to specify and develop an ontology capable of consuming, integrating, analyzing and making available data of a regional mental healthcare network.
