Methodology to build medical ontology from textual resources.
In the medical field, it is now established that the maintenance of unambiguous thesauri goes through ontologies. Our research task is to help pneumologists code acts and diagnoses with a software that represents medical knowledge through a domain ontology. In this paper, we describe our general methodology aimed at knowledge engineers in order to build various types of medical ontologies based on terminology extraction from texts. The hypothesis is to apply natural language processing tools to textual patient discharge summaries to develop the resources needed to build an ontology in pneumology. Results indicate that the joint use of distributional analysis and lexico-syntactic patterns performed satisfactorily for building such ontologies.
Baneyx
Audrey
A
INSERM U729, Paris, Ile-de-France 75006, France, Metropolitan.
Charlet
Jean
J
Jaulent
Marie-Christine
MC
D005568:Forms and Records Control; D006801:Humans; D009323:Natural Language Processing; D010351:Patient Discharge; D015272:Pulmonary Medicine / Q000145:classification*; D012984:Software; D009626:Terminology as Topic; D018875:Vocabulary, Controlled