Ontology Based Higher-Level Fusion

Speaker: Mieczyslaw M. Kokar

Abstrakt:

Higher-level fusion involves estimation of abstract entities - sometimes called "situations" - that can be represented as relations among objects, both physical and conceptual. Unlike features of physical objects, features of relations are not directly measured by any sensors. Instead, the existence of a relation is derived from a domain theory relevant to a specific scenario. In this talk, both theoretical and practical aspects of situation awareness and higher-level information fusion will be discussed. First, a motivational example will be given to demonstrate the importance of relations and to introduce the concept of situation. Then a formal mathematical definition of situation will be formulated and mapped to an ontological framework. This will be followed by a presentation of some methodological techniques and some technologies that are needed for establishing an ontological approach to higher level fusion processing. In conclusion, directions for both applications and research in the areas of ontologies and higher-level fusion will be discussed.