Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Mapping the UMLS Semantic Network into general ontologies.

A Burgun1, O Bodenreider

  • 1National Library of Medicine, National Institutes of Health, Bethsda, Maryland, USA. burgun@nlm.nih.gov

Proceedings. AMIA Symposium
|February 9, 2002
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Validating predictive models on EHRs data : lessons learnt from the NCDR-IMPACT-score applied on a French cardiac catheterization cohort.

BMC cardiovascular disorders·2026
Same author

Radiomics: A primer for the radiation oncologist.

Cancer radiotherapie : journal de la Societe francaise de radiotherapie oncologique·2020
Same author

[Basis and perspectives of artificial intelligence in radiation therapy].

Cancer radiotherapie : journal de la Societe francaise de radiotherapie oncologique·2019
Same author

[Clinical photography by smartphone in plastic surgery and protection of personal data: Development of a secured platform and application on 979 patients].

Annales de chirurgie plastique et esthetique·2018
Same author

Health Data for Public Health: Towards New Ways of Combining Data Sources to Support Research Efforts in Europe.

Yearbook of medical informatics·2017
Same author

An architecture for genomics analysis in a clinical setting using Galaxy and Docker.

GigaScience·2017
Same journal

Progressive display of very high resolution images using wavelets.

Proceedings. AMIA Symposium·2002
Same journal

The Chronus II temporal database mediator.

Proceedings. AMIA Symposium·2002
Same journal

Gene expression levels in different stages of progression in oral squamous cell carcinoma.

Proceedings. AMIA Symposium·2002
Same journal

An assessment of the visibility of MeSH-indexed medical web catalogs through search engines.

Proceedings. AMIA Symposium·2002
Same journal

Filtering for medical news items using a machine learning approach.

Proceedings. AMIA Symposium·2002
Same journal

Enriching the structure of the UMLS semantic network.

Proceedings. AMIA Symposium·2002
See all related articles

This study mapped the Unified Medical Language System (UMLS) Semantic Network to the Upper Cyc Ontology (UCO) and WordNet. Findings show limited direct mapping but highlight WordNet

Area of Science:

  • Bioinformatics
  • Medical Informatics
  • Ontology Engineering

Background:

  • Ontologies are crucial for organizing and retrieving biomedical information.
  • The Unified Medical Language System (UMLS) Semantic Network is a widely used biomedical ontology.
  • Interoperability between different ontologies is essential for data integration.

Purpose of the Study:

  • To assess the compatibility between the UMLS Semantic Network and the Upper Cyc Ontology (UCO).
  • To evaluate the semantic class compatibility between the UMLS and WordNet.
  • To explore the utility of WordNet for consumer health applications.

Main Methods:

  • Manual mapping of UMLS Semantic Types to UCO categories.
  • Comparison of semantic classes between UMLS and WordNet, focusing on the Health Disorder class.

Related Experiment Videos

  • Quantitative analysis of mapping exactness and class compatibility.

    • Main Results:

    • Approximately one-fifth of UMLS Semantic Types had exact mappings to UCO types, indicating UCO's broad but less specialized nature.
    • Only 2% of UMLS Health Disorder concepts were found in WordNet, with 48% class compatibility.
    • WordNet's general language focus makes it a valuable resource for lay knowledge in health.

    Conclusions:

    • The UMLS Semantic Network shows partial compatibility with UCO and WordNet.
    • WordNet offers potential for consumer health informatics due to its accessible knowledge representation.
    • Further research is needed to enhance semantic interoperability between biomedical and general ontologies.