title: Conceptual knowledge acquisition in biomedicine: A methodological review.
abstract: The use of conceptual knowledge collections or structures within the biomedical domain is pervasive, spanning a variety of applications including controlled terminologies, semantic networks, ontologies, and database schemas. A number of theoretical constructs and practical methods or techniques support the development and evaluation of conceptual knowledge collections. This review will provide an overview of the current state of knowledge concerning conceptual knowledge acquisition, drawing from multiple contributing academic disciplines such as biomedicine, computer science, cognitive science, education, linguistics, semiotics, and psychology. In addition, multiple taxonomic approaches to the description and selection of conceptual knowledge acquisition and evaluation techniques will be proposed in order to partially address the apparent fragmentation of the current literature concerning this domain.
authors.affiliation: The Ohio State University, Department of Biomedical Informatics, 3190 Graves Hall, 333 West 10th Avenue, Columbus, OH 43210-1239, USA.
authors.forename: Philip R O
authors.initials: PR
authors.lastname: Payne
authors.forename: Eneida A
authors.initials: EA
authors.lastname: Mendonça
authors.forename: Stephen B
authors.initials: SB
authors.lastname: Johnson
authors.forename: Justin B
authors.initials: JB
authors.lastname: Starren
mesh_terms: D001185:Artificial Intelligence; D035843:Biomedical Research / Q000145:classification*; D016206:Databases, Bibliographic / Q000145:classification* / Q000592:standards / Q000639:trends; D003663:Decision Trees; D004282:Documentation / Q000379:methods* / Q000592:standards* / Q000639:trends; D005103:Expert Systems; D005544:Forecasting; D007802:Language; D008037:Linguistics; D008962:Models, Theoretical; D011786:Quality Control; D012660:Semantics; D012986:Software Validation; D013561:Symbolism