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

Formal Charges02:42

Formal Charges

40.7K
In some cases, there are seemingly more than one valid Lewis structures for molecules and polyatomic ions. The concept of formal charges can be used to help predict the most appropriate Lewis structure when more than one reasonable structure exists.
40.7K
Sign Test for Matched Pairs01:17

Sign Test for Matched Pairs

427
The sign test for matched pairs offers a robust method for comparing two paired samples, often for the effects of an intervention in one of them. This method is very useful in situations where the underlying distribution of the data is unknown. The test compares two related samples—often pre- and post-treatment measurements on the same subjects—to determine if there are significant differences in their median values.
To conduct the sign test, we first calculate the differences in...
427
Lewis Structures and Formal Charges02:19

Lewis Structures and Formal Charges

22.7K
Lewis symbols can be used to indicate the formation of covalent bonds, which are shown in Lewis structures—drawings that describe the bonding in molecules and polyatomic ions. The periodic table can be used to predict the number of valence electrons in an atom and the number of bonds that will be formed to reach an octet. Group 18 elements, such as argon and helium, have filled electron configurations and thus rarely participate in chemical bonding. However, atoms from group 17, such as...
22.7K
Self-Concept01:19

Self-Concept

1.7K
Self-concept is the cognitive and emotional understanding individuals hold about their identity. It evolves through various developmental stages, beginning in infancy and maturing as children grow. This concept influences how individuals perceive their abilities, interact with others, and manage challenges throughout life.
Infancy and Emerging Recognition
During infancy, self-concept is virtually nonexistent. Babies do not distinguish themselves as separate entities and often mistake their...
1.7K
Concepts and Prototypes01:24

Concepts and Prototypes

556
The human nervous system handles vast amounts of information by translating sensory stimuli into neural impulses, which the brain processes, creating thoughts expressed through language or stored as memories. The brain also synthesizes information from emotions and memories, which significantly influence thoughts and behaviors. This intricate process creates a comprehensive mental picture.
The brain organizes this information using concepts, which are mental categories grouping linguistic data,...
556
Formula Mass and Mole Concepts of Compounds02:56

Formula Mass and Mole Concepts of Compounds

82.4K
Formula Mass of Covalent Compounds
82.4K

You might also read

Related Articles

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

Sort by
Same author

Metabolic reprogramming of glutamine is associated with M2 macrophage polarization in allergic rhinitis.

Frontiers in immunology·2026
Same author

Physiological responses and evaluation of cold tolerance in red prickly ash (<i>Zanthoxylum bungeanum</i> Maxim.) germplasm under low-temperature treatment.

Frontiers in plant science·2026
Same author

Measurements of the relative gamma-ray emission intensities from the decay of <sup>127</sup>Sb and <sup>126</sup>Sb.

Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine·2026
Same author

Sub-voxel Susceptibility Mapping and Machine Learning to Detect Brain Iron Deposition and Its Cognitive Relevance in Beta-Thalassemia.

AJNR. American journal of neuroradiology·2026
Same author

Sub-inhibitory antibiotics reshape resistance dynamics in cyanobacteria-dominated waters.

Journal of environmental sciences (China)·2026
Same author

Dual-channel graph learning reveals similarity and complementarity in protein-protein interaction networks.

PLoS computational biology·2026

Related Experiment Video

Updated: Feb 13, 2026

Fabrication of Refractive-index-matched Devices for Biomedical Microfluidics
09:54

Fabrication of Refractive-index-matched Devices for Biomedical Microfluidics

Published on: September 10, 2018

8.0K

Matching biomedical ontologies based on formal concept analysis.

Mengyi Zhao1,2, Songmao Zhang3, Weizhuo Li1,2

  • 1MADIS, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, People's Republic of China.

Journal of Biomedical Semantics
|March 21, 2018
PubMed
Summary
This summary is machine-generated.

This study enhances ontology matching (OM) using Formal Concept Analysis (FCA) by integrating more ontological knowledge. The FCA-Map method effectively identifies complex mappings across large ontologies, improving semantic integration.

Keywords:
Concept latticeFormal concept analysisOntology matching

More Related Videos

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

16.5K
Quantification of Global Diastolic Function by Kinematic Modeling-based Analysis of Transmitral Flow via the Parametrized Diastolic Filling Formalism
11:04

Quantification of Global Diastolic Function by Kinematic Modeling-based Analysis of Transmitral Flow via the Parametrized Diastolic Filling Formalism

Published on: September 1, 2014

11.6K

Related Experiment Videos

Last Updated: Feb 13, 2026

Fabrication of Refractive-index-matched Devices for Biomedical Microfluidics
09:54

Fabrication of Refractive-index-matched Devices for Biomedical Microfluidics

Published on: September 10, 2018

8.0K
A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

16.5K
Quantification of Global Diastolic Function by Kinematic Modeling-based Analysis of Transmitral Flow via the Parametrized Diastolic Filling Formalism
11:04

Quantification of Global Diastolic Function by Kinematic Modeling-based Analysis of Transmitral Flow via the Parametrized Diastolic Filling Formalism

Published on: September 1, 2014

11.6K

Area of Science:

  • Computer Science
  • Artificial Intelligence
  • Knowledge Representation

Background:

  • Ontology matching (OM) is crucial for semantic integration and interoperability between overlapping ontologies.
  • Existing Formal Concept Analysis (FCA)-based OM methods have limitations in exploiting ontological knowledge.
  • This study aims to enhance FCA by incorporating comprehensive ontological information for improved ontology matching.

Purpose of the Study:

  • To propose and evaluate FCA-Map, a novel method for identifying and validating various types of mappings across ontologies.
  • To leverage extensive ontological knowledge within the FCA framework to improve mapping accuracy and scope.
  • To address limitations in current FCA-based approaches for ontology matching.

Main Methods:

  • FCA-Map incrementally generates five types of formal contexts (token-based, relation-based, positive relation-based, property-based, restriction-based).
  • Mappings are extracted from concept lattices derived from these formal contexts.
  • The method identifies lexical anchors, validates them with structural evidence, and discovers property and complex mappings.

Main Results:

  • FCA-Map demonstrates effectiveness and competitiveness on large biomedical and disease ontologies.
  • The method achieves a favorable precision-recall balance for large-scale domain ontologies.
  • Performance is less satisfactory for smaller ontologies with limited lexical and semantic expressions.

Conclusions:

  • The study presents a comprehensive FCA-based approach for ontology matching, pushing the boundaries of FCA formalism.
  • Utilizing multiple FCA structures effectively clusters lexical and structural commonalities between classes.
  • Experiments confirm the power of FCA for large, real-world domain ontologies, showing promising results.