Abstract. The upper-level ontologies are theories that capture the most common concepts, which are relevant for many of the tasks involving knowledge extraction, representation, and reasoning. These ontologies use to represent the skeleton of the human common-sense in such a formal way that covers as much aspects (or ”dimensions”) of the knowledge as possible. Often the result is relatively complex and abstract philosophic theory. Currently the evaluation of the feasibility of such ontologies is pretty expensive mostly because of technical problems such as different representations and terminologies used. Additionally, there are no formal mappings between the upper-level ontologies that could make easier their understanding, study, and comparison. As a result, the upper-level models are not widely used. We present OntoMap — a project with the pragmatic goal to facilitate an easy access, understanding, and reuse of such resources in order to make them useful for experts outside th...
Atanas K. Kirakov, Marin Dimitrov