title: Knowledge representation and indexing using the unified medical language system.
abstract: Ontologies and semantic frameworks can be used to improve the accuracy and expressiveness of natural language processing for the purpose of extracting meaning from technical documents. This is especially true when a rich ontology such as the Unified Medical Language System (UMLS) is available. This paper reports on some tools being developed to make this possible and on some experience with a user interface based on ontologies and semantic networks that allows for interactive knowledge exploration.
authors.affiliation: Jarg Corporation, Waltham, MA 02453, USA.
authors.forename: K
authors.initials: K
authors.lastname: Baclawski
authors.forename: J
authors.initials: J
authors.lastname: Cigna
authors.forename: M M
authors.initials: MM
authors.lastname: Kokar
authors.forename: P
authors.initials: P
authors.lastname: Mager
authors.forename: B
authors.initials: B
authors.lastname: Indurkhya
mesh_terms: D000043:Abstracting and Indexing; D001185:Artificial Intelligence; D003198:Computer Simulation; D003625:Data Collection; D007802:Language; D008492:Medical Informatics Computing; D012660:Semantics