REVIEW OF BIOMEDICAL KNOWLEDGE AND DATA REPRESENTATION WITH CONCEPTUAL GRAPHS

The basis of conceptual graphs theory is an ontology of types oi conce pts, Concepts issued from the ontology are interlinked by semantic rel ationships and constitute canonical conceptual graphs. Canonical graph s may be combined to derive new conceptual graphs by means of formatio n rules, This formalism allows to separate knowledge representation in to a conceptual level and a domain-dependent level, and enables to sha re and reuse a representation. This paper presents conceptual graph ap plications to biomedical data and concept representation, classificati on systems, information retrieval, and natural language understanding and processing. A discussion on the unifying role conceptual graphs th eory plays in the implementation of knowledge-based systems is also pr esented.