title: Semantic enrichment for medical ontologies.
abstract: The Unified Medical Language System (UMLS) contains two separate but interconnected knowledge structures, the Semantic Network (upper level) and the Metathesaurus (lower level). In this paper, we have attempted to work out better how the use of such a two-level structure in the medical field has led to notable advances in terminologies and ontologies. However, most ontologies and terminologies do not have such a two-level structure. Therefore, we present a method, called semantic enrichment, which generates a two-level ontology from a given one-level terminology and an auxiliary two-level ontology. During semantic enrichment, concepts of the one-level terminology are assigned to semantic types, which are the building blocks of the upper level of the auxiliary two-level ontology. The result of this process is the desired new two-level ontology. We discuss semantic enrichment of two example terminologies and how we approach the implementation of semantic enrichment in the medical domain. This implementation performs a major part of the semantic enrichment process with the medical terminologies, with difficult cases left to a human expert.
authors.affiliation: Department of Computer Science and Informatics, School of Computing and Engineering, University of Missouri, Kansas City, MO 64110, USA. leeyu@umkc.edu
authors.forename: Yugyung
authors.initials: Y
authors.lastname: Lee
authors.forename: James
authors.initials: J
authors.lastname: Geller
mesh_terms: D001185:Artificial Intelligence; D009323:Natural Language Processing; D012660:Semantics; D009626:Terminology as Topic; D017432:Unified Medical Language System