System Hard Keyword / Orlando / Keyword / Dublin / Springer Verlag / Beijing / Brisbane / New York / /
Company
ACM Press / /
Country
United States / Australia / China / Ireland / / /
Facility
University of Pittsburgh / U.S. National Library of Medicine / Technology Queensland University of Technology / /
IndustryTerm
biomedical document search / conceptual search / pharmaceuticals / semantic search system / natural language processing system / search systems / biomedical applications / search engine6 / keyword baseline systems / knowledge management / Semantic search / concept-based and keyword-based baseline systems / concept matching algorithm / retrieval systems / done using the Indri Lemur search engine6 / /
Organization
Faculty of Science / American Medical Informatics Association / University of Pittsburgh / MIT / idf / Queensland University of Technology / Brisbane / /
Position
domain model for our concept-based IR system / SNOMED-CT concept extractor / Porter / Corresponding author / /
ProvinceOrState
Florida / New York / /
Technology
concept matching algorithm / knowledge management / Chemotherapy / natural language processing system / /
Towards Semantic Search and Inference in Electronic Medical Records: an approach using Concept-based Information Retrieval Bevan Koopman1,2? , Peter Bruza2 , Lauriane Sitbon2 , and Michael Lawley1 1