title: Medical knowledge evolution query constraining aspects.
abstract: In this paper we present a first analysis towards better understanding of the query constraining aspects of knowledge, as expressed in the most used public medical bibliographic database MEDLINE. Our results indicate, possibly not surprising, that new terms occur, but also that traditional terms are replaced by more specific ones or even go out of use as they become common knowledge. Hence, as knowledge evolve over time, search methods may benefit from becoming more sensitive to knowledge expression, to enable finding new, as well as older, relevant database contents.
authors: Centre for Language Technology, Department of Swedish Language, University of Gothenburg, Sweden. Ann-Marie.Eklund@svenska.gu.se
authors: Ann-Marie
authors: AM
authors: Eklund
mesh_terms: D017667:Adipocytes / Q000378:metabolism; D052242:Adiponectin / Q000378:metabolism; D001185:Artificial Intelligence; D003199:Computer Systems / Q000592:standards*; D057225:Data Mining / Q000379:methods; D016206:Databases, Bibliographic; D016208:Databases, Factual; D006801:Humans; D016239:MEDLINE; D008490:Medical Informatics / Q000379:methods*; D009317:National Library of Medicine (U.S.); D009765:Obesity / Q000378:metabolism; D012660:Semantics; D009626:Terminology as Topic; D014481:United States; D014584:User-Computer Interface
chemical_list: D052242:Adiponectin