title: Supporting ontology-based keyword search over medical databases.
abstract: The proliferation of medical terms poses a number of challenges in the sharing of medical information among different stakeholders. Ontologies are commonly used to establish relationships between different terms, yet their role in querying has not been investigated in detail. In this paper, we study the problem of supporting ontology-based keyword search queries on a database of electronic medical records. We present several approaches to support this type of queries, study the advantages and limitations of each approach, and summarize the lessons learned as best practices.
authors.affiliation: IBM T.J. Watson Research Center, 19 Skyline Drive, Hawthorne, NY 10532, USA.
authors.forename: Anastasios
authors.initials: A
authors.lastname: Kementsietsidis
authors.forename: Lipyeow
authors.initials: L
authors.lastname: Lim
authors.forename: Min
authors.initials: M
authors.lastname: Wang
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D003628:Database Management Systems; D016208:Databases, Factual; D016247:Information Storage and Retrieval / Q000379:methods*; D009323:Natural Language Processing; D009518:New York; D010363:Pattern Recognition, Automated / Q000379:methods*; D009626:Terminology as Topic