Knowledge Representation is a topic with an increasing importance, able to drive new lines of research and development.

 Data Over Ontological Models wants to become a local reality distinguishing itself within the Knowledge Management Systems setting. Its core business is the treatment of semi-structured information .

 The use of formal logical languages, that characterize the Knowledge Representation in the Artificial Intelligence field, allows a complete and effective organization of informative flows and it is the most innovative and valuable answer to solve problems related to data representation, research (discovery), filtering, classification, extraction and manipulation.

 The use of logics to describe and to annotate data allows  the integration of different sources of informative flows, making them interoperable.