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 Concept Videos

The Uncertainty Principle04:08

The Uncertainty Principle

33.2K
Werner Heisenberg considered the limits of how accurately one can measure properties of an electron or other microscopic particles. He determined that there is a fundamental limit to how accurately one can measure both a particle’s position and its momentum simultaneously. The more accurate the measurement of the momentum of a particle is known, the less accurate the position at that time is known and vice versa. This is what is now called the Heisenberg uncertainty principle. He...
33.2K
Hardy-Weinberg Principle01:49

Hardy-Weinberg Principle

76.7K
Diploid organisms have two alleles of each gene, one from each parent, in their somatic cells. Therefore, each individual contributes two alleles to the gene pool of the population. The gene pool of a population is the sum of every allele of all genes within that population and has some degree of variation. Genetic variation is typically expressed as a relative frequency, which is the percentage of the total population that has a given allele, genotype or phenotype.
76.7K
The Pauli Exclusion Principle03:06

The Pauli Exclusion Principle

59.6K
The arrangement of electrons in the orbitals of an atom is called its electron configuration. We describe an electron configuration with a symbol that contains three pieces of information:
59.6K
Self-Help Support Groups01:28

Self-Help Support Groups

369
Self-help support groups are voluntary, community-based organizations that provide a platform for individuals with shared concerns to exchange support, insights, and practical strategies for coping with life challenges. Typically led by group members or paraprofessionals, these groups form a cornerstone of mental health care, especially in reaching populations that are underserved by traditional healthcare systems.
Accessibility and Cost-Effectiveness
One of the primary strengths of self-help...
369
Nursing Implementation01:15

Nursing Implementation

6.3K
Implementation is the execution of the nursing care plan developed during the planning phase.
The five steps to implementing effective nursing care include reassessing the patient, reviewing and revising the existing nursing care plan, organizing the resources and care delivery, anticipating and preventing complications, and implementing nursing interventions.
6.3K
The Aufbau Principle and Hund's Rule03:02

The Aufbau Principle and Hund's Rule

74.7K
To determine the electron configuration for any particular atom, we can build the structures in the order of atomic numbers. Beginning with hydrogen, and continuing across the periods of the periodic table, we add one proton at a time to the nucleus and one electron to the proper subshell until we have described the electron configurations of all the elements. This procedure is called the aufbau principle, from the German word aufbau (“to build up”). Each added electron occupies the...
74.7K

You might also read

Related Articles

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

Sort by
Same author

VO: The Vaccine Ontology.

Scientific data·2026
Same author

The Cell Ontology in the age of single-cell omics.

Scientific data·2026
Same author

Nested Named Entity Recognition using Multilayer BERT-based Model: Notebook for the BioASQ Lab at CLEF 2024.

CEUR workshop proceedings.·2026
Same author

Target Trial Emulation of Vaccine Effectiveness in 5- to 17-years-olds with Prior SARS-CoV-2 Infection.

Nature communications·2026
Same author

SEA CDM: Study-Experiment-Assay Common Data Model and Databases for Cross-Domain Data Integration and Analysis.

Scientific data·2026
Same author

The Ontology of Adverse Events in 2025.

Scientific data·2026

Related Experiment Video

Updated: Feb 15, 2026

Orienteering as a Tool for Cognitive Research: An Implementation Guide
07:13

Orienteering as a Tool for Cognitive Research: An Implementation Guide

Published on: November 29, 2024

1.5K

The eXtensible ontology development (XOD) principles and tool implementation to support ontology interoperability.

Yongqun He1, Zuoshuang Xiang2, Jie Zheng3

  • 1Unit for Laboratory Animal Medicine, Department of Microbiology and Immunology, Center for Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, MI, USA. yongqunh@med.umich.edu.

Journal of Biomedical Semantics
|January 14, 2018
PubMed
Summary

Developing interoperable ontologies is crucial for data sharing. The proposed eXtensible Ontology Development (XOD) strategy and its principles promote standardized data representation and integration for FAIR data.

Keywords:
And ontology design patternInteroperabilityOntoanimal toolsOntobeeOntofoxOntologyOntoratSemantic alignmentSoftwareeXtensible ontology development

More Related Videos

The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time
06:05

The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time

Published on: February 19, 2021

1.8K
Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information
09:37

Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information

Published on: August 15, 2019

10.5K

Related Experiment Videos

Last Updated: Feb 15, 2026

Orienteering as a Tool for Cognitive Research: An Implementation Guide
07:13

Orienteering as a Tool for Cognitive Research: An Implementation Guide

Published on: November 29, 2024

1.5K
The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time
06:05

The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time

Published on: February 19, 2021

1.8K
Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information
09:37

Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information

Published on: August 15, 2019

10.5K

Area of Science:

  • Bioinformatics and Computational Biology
  • Knowledge Representation and Ontologies

Background:

  • Ontologies are essential for standardizing biological and biomedical data, metadata, and knowledge.
  • Ensuring interoperability among the numerous existing ontologies is critical for effective data integration and analysis.
  • Existing tools like Ontoanimal offer functionalities for ontology development but lack a cohesive strategy.

Purpose of the Study:

  • To propose a novel strategy for extensible ontology development (XOD) to enhance ontology interoperability.
  • To define four core principles for the XOD strategy to guide the creation of standardized and interoperable ontologies.
  • To support the development of robust tools that facilitate the adoption of the XOD strategy and promote FAIR data principles.

Main Methods:

  • Analysis of common features across the Ontoanimal tool suite and similar ontology development tools.
  • Identification and formulation of four core principles for the eXtensible Ontology Development (XOD) strategy.
  • Emphasis on reusing existing terms, applying established ontology design patterns (ODPs), and fostering community involvement.

Main Results:

  • The proposed XOD strategy provides a framework for developing new ontologies and improving existing ones.
  • The four XOD principles guide the creation of ontologies that are inherently interoperable and reusable.
  • The strategy promotes standardized data representation, facilitating knowledge integration and analysis.

Conclusions:

  • The XOD strategy, coupled with robust tool development, significantly enhances ontology interoperability.
  • Adoption of XOD principles supports the creation of FAIR (Findable, Accessible, Interoperable, Reusable) data and knowledge resources.
  • This approach is vital for advancing data standardization and integration in the biological and biomedical domains.