https://core.ac.uk/download/pdf/12039522.pdf

Knowledge formalization in experience feedback processes: An ontology-based approach

The Basis for Using the Internet to Support the Information Needs of Primary Care

Part-whole representation and reasoning in formal biomedical ontologies

Knowledge representation and retrieval using conceptual graphs and free text document self-organisation techniques

The intrinsic complexity of the medical domain requires the building of some tools to assist the clinician and improve the patient's health care. Clinical practice guidelines and protocols (CGPs) are documents with the aim of guiding decisions and criteria in specific areas of healthcare and they have been represented using several languages, but these are difficult to understand without a formal background. This paper uses conceptual graph formalism to represent CGPs. The originality here is the use of a graph-based approach in which reasoning is based on graph-theory operations to support sound logical reasoning in a visual manner. It allows users to have a maximal understanding and control over each step of the knowledge reasoning process in the CGPs exploitation. The application example concentrates on a protocol for the management of adult patients with hyperosmolar hyperglycemic state in the Intensive Care Unit.

Using conceptual graphs for clinical guidelines representation and knowledge visualization

The basis of conceptual graphs theory is an ontology of types of concepts. Concepts issued from the ontology are interlinked by semantic relationships and constitute canonical conceptual graphs. Canonical graphs may be combined to derive new conceptual graphs by means of formation rules. This formalism allows to separate knowledge representation into a conceptual level and a domain-dependent level, and enables to share and reuse a representation. This paper presents conceptual graph applications to biomedical data and concept representation, classification systems, information retrieval, and natural language understanding and processing. A discussion on the unifying role conceptual graphs theory plays in the implementation of knowledge-based systems is also presented.

M Joubert

Papers

Review of biomedical knowledge and data representation with conceptual graphs.