title: Development of health information search engine based on metadata and ontology.
abstract: OBJECTIVE
  The aim of the study was to develop a metadata and ontology-based health information search engine ensuring semantic interoperability to collect and provide health information using different application programs.
  
  
  METHODS
  Health information metadata ontology was developed using a distributed semantic Web content publishing model based on vocabularies used to index the contents generated by the information producers as well as those used to search the contents by the users. Vocabulary for health information ontology was mapped to the Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT), and a list of about 1,500 terms was proposed. The metadata schema used in this study was developed by adding an element describing the target audience to the Dublin Core Metadata Element Set.
  
  
  RESULTS
  A metadata schema and an ontology ensuring interoperability of health information available on the internet were developed. The metadata and ontology-based health information search engine developed in this study produced a better search result compared to existing search engines.
  
  
  CONCLUSIONS
  Health information search engine based on metadata and ontology will provide reliable health information to both information producer and information consumers.
authors.affiliation: Research Center on Psychosocial Health, Korea Institute for Health and Social Affairs, Seoul, Korea.
authors.forename: Tae-Min
authors.initials: TM
authors.lastname: Song
authors.affiliation: College of Nursing and Systems Biomedical Informatics Research Center, Seoul National University, Seoul, Korea.
authors.forename: Hyeoun-Ae
authors.initials: HA
authors.lastname: Park
authors.affiliation: College of Nursing and Systems Biomedical Informatics Research Center, Seoul National University, Seoul, Korea.
authors.forename: Dal-Lae
authors.initials: DL
authors.lastname: Jin
keywords: Consumer Health Information; Information Systems; Search Engine; Terminology