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

Evaluation and application of a semantic network partition.

James Geller1, Yehoshua Perl, Michael Halper

  • 1Computer Science Department, New Jersey Institute of Technology, Newark 07102, USA. geller@homer.njit.edu

IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society
|June 22, 2002
PubMed
Summary

This study compares algorithmic partitioning of semantic networks (SNs) with expert-defined partitions. Results show algorithmic methods can create subnetworks aligning with human understanding, aiding comprehension.

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

Evaluating RAG and Non-RAG Pipelines for Concept Discovery in Environmental Health Ontologies.

AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science·2026
Same author

Adipose precursor cell-derived clusterin promotes homeostasis in subcutaneous adipose tissue.

Stem cell reports·2026
Same author

Single nuclei RNA-sequencing reveals transcriptional heterogeneity in the blastema of favorable histology Wilms tumor.

JCI insight·2026
Same author

Convergence to Steady State in LLM-Generated Ontological Concepts.

Studies in health technology and informatics·2026
Same author

Relational Graph Convolutional Network with BERT Embeddings for Ontology Relationship Classification.

Studies in health technology and informatics·2026
Same author

Spatiotemporal single-cell atlas of suture stem cell dynamics in craniosynostosis.

Stem cell research & therapy·2026

Area of Science:

  • Knowledge representation
  • Computational linguistics
  • Information science

Background:

  • Semantic networks (SNs) are powerful knowledge representation tools.
  • Large SNs pose comprehension challenges.
  • Existing partitioning methods lack validation against human insight.

Purpose of the Study:

  • To evaluate if algorithmic partitioning of SNs aligns with human perception.
  • To demonstrate the utility of network partitioning for creating user-friendly partial views.
  • To enhance the understandability of large-scale SNs.

Main Methods:

  • Comparison of an algorithmic partitioning method with expert-defined partitions.
  • Utilizing the Unified Medical Language System (UMLS) SN for examples.

Related Experiment Videos

  • Generating partial views from network partitions to aid user orientation.

    • Main Results:

    • Algorithmic partitioning can yield subnetworks that correspond to human cognitive groupings.
    • Partial views generated from partitions improve user orientation within SNs.
    • Demonstrated feasibility of using partitioning for enhanced SN comprehension.

    Conclusions:

    • Algorithmic partitioning offers a viable approach to structuring large semantic networks.
    • Network partitioning effectively supports the creation of intuitive partial views.
    • This work bridges algorithmic approaches and human insight in SN analysis.