Healthc Inform Res.  2014 Apr;20(2):88-98. 10.4258/hir.2014.20.2.88.

Development of Health Information Search Engine Based on Metadata and Ontology

  • 1Research Center on Psychosocial Health, Korea Institute for Health and Social Affairs, Seoul, Korea.
  • 2College of Nursing and Systems Biomedical Informatics Research Center, Seoul National University, Seoul, Korea.


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.
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.
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.
Health information search engine based on metadata and ontology will provide reliable health information to both information producer and information consumers.


Information Systems; Search Engine; Terminology; Consumer Health Information

MeSH Terms

Consumer Health Information
Information Systems
Search Engine*
Systematized Nomenclature of Medicine


  • Figure 1 Outline of generated health content and process reuse.

  • Figure 2 Ontology for health information subject of heading.

  • Figure 3 Ontology-based health information search system.

  • Figure 4 Comparison with search results using the existing ontology search system.

Cited by  1 articles

Clinical Data Element Ontology for Unified Indexing and Retrieval of Data Elements across Multiple Metadata Registries
Senator Jeong, Hye Hyeon Kim, Yu Rang Park, Ju Han Kim
Healthc Inform Res. 2014;20(4):295-303.    doi: 10.4258/hir.2014.20.4.295.


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