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

If ontology is the solution, what is the problem?

Domenico M Pisanelli1, Aldo Gangemi

  • 1Laboratory of Applied Ontology, CNR - ISTC, Viale Marx 15, 00137, Rome, Italy.

Studies in Health Technology and Informatics
|April 28, 2005
PubMed
Summary

Ontological approaches enhance medical data management by disambiguating terms, organizing large datasets, and improving interoperability for clinical guidelines and evidence-based medicine.

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

Virtual embodiment increases male sensitivity to catcalling experiences.

Scientific reports·2025
Same author

Empirical exploration of the 4P theory of creativity using virtual reality.

Acta psychologica·2025
Same author

A virtual reality study on the relationship between explicit and implicit indices of creativity and explicit personality traits.

Psychological research·2025
Same author

PanicRoom: a virtual reality-based Pavlovian fear conditioning paradigm.

Frontiers in psychology·2024
Same author

Experiments on real-life emotions challenge Ekman's model.

Scientific reports·2023
Same author

Predicting the results of evaluation procedures of academics.

PeerJ. Computer science·2021

Area of Science:

  • Medical Informatics
  • Bio-medical Data Management
  • Knowledge Representation

Background:

  • Medical data presents challenges in term disambiguation and corpus organization.
  • Integrating diverse medical knowledge sources requires robust solutions.
  • Managing biomedical equipment catalogs needs structured approaches.

Purpose of the Study:

  • To demonstrate the utility of ontological approaches in addressing medical data challenges.
  • To highlight the role of terminological ontologies in medical informatics.
  • To showcase the importance of ontologies for data integration and interoperability.

Main Methods:

  • Utilizing terminological ontologies for natural language processing tasks.
  • Applying ontological frameworks to structure and analyze large medical corpora.

Related Experiment Videos

  • Developing ontological models for managing biomedical equipment information.

    • Main Results:

    • Ontologies effectively disambiguate polysemous medical terms.
    • Ontological methods facilitate the reorganization of large medical text corpora.
    • Ontologies aid in detecting inconsistencies within medical data.
    • Ontologies prove crucial for managing biomedical equipment catalogs.
    • Ontologies enable seamless integration of heterogeneous knowledge sources.

    Conclusions:

    • Ontological approaches offer significant benefits for medical data management and problem-solving.
    • Terminological ontologies are essential tools for modern medical informatics.
    • Ontologies are fundamental for achieving interoperability in clinical guidelines and evidence-based medicine.