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

Custom views of reference ontologies.

Landon T Detwiler1, James F Brinkley

  • 1Department of Biological Structure and Medical Education, University of Washington, Seattle, WA, USA.

AMIA ... Annual Symposium Proceedings. AMIA Symposium
|January 24, 2007
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

The Graphic Descriptor Ontology: An ontology for semantic annotation of graphics and its application to graphic libraries of anatomical standards.

PloS one·2026
Same author

Developing libraries of semantically-augmented graphics as visual standards for biomedical information systems.

Journal of biomedical informatics·2025
Same author

FaceBase 3: analytical tools and FAIR resources for craniofacial and dental research.

Development (Cambridge, England)·2020
Same author

Human Development Domain of the Ontology of Craniofacial Development and Malformation.

CEUR workshop proceedings·2017
Same author

Multi-species Ontologies of the Craniofacial Musculoskeletal System.

CEUR workshop proceedings·2017
Same author

The FaceBase Consortium: a comprehensive resource for craniofacial researchers.

Development (Cambridge, England)·2016
Same journal

Sensitivity Analyses of a Scoring System for a Contraception Decision Aid.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026
Same journal

Improving electronic health record processing of large language models via retrieval-augmented generation: A case study on dietary supplements.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026
Same journal

Developing a User-Centered Mobile Application Prototype: Bridging Lower-Limb Fracture Care from Skilled Nursing Facility and Back to the Community.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026
Same journal

KERAP: A Knowledge-Enhanced Reasoning Approach for Accurate Zero-shot Diagnosis Prediction Using Multi-agent LLMs.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026
Same journal

Automating Adjudication of Cardiovascular Events Using Large Language Models.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026
Same journal

Predictive Factors and State-Level Barriers to Postpartum Birth Control Usage in the United States: Insights from PRAMS Phase 8.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026
See all related articles

This study catalogs operations for creating custom ontology views from reference ontologies. This work informs the development of a formal language for defining ontology views for specific applications.

Area of Science:

  • Bioinformatics
  • Ontology Engineering
  • Computer Science

Background:

  • Reference ontologies are foundational in bioinformatics and knowledge representation.
  • Customizing ontologies for specific applications enhances their utility.
  • Generating ontology views is a key technique for customization.

Purpose of the Study:

  • To investigate the operations required for generating custom ontology views.
  • To establish a foundation for a formal ontology view definition language.

Main Methods:

  • Cataloging operations involved in creating ontology views.
  • Analyzing the requirements for ontology view generation.

Main Results:

  • A comprehensive catalog of operations for ontology view generation was compiled.

Related Experiment Videos

  • The study identified key requirements for a formal view definition language.
  • Conclusions:

    • Understanding the operations is crucial for developing robust ontology view definition languages.
    • This research provides a basis for creating more flexible and context-specific ontology applications.