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Related Experiment Videos

Modeling Integration and Reuse of Heterogeneous Terminologies in Faceted Browsing Systems.

Daniel R Harris1

  • 1Center for Clinical and Translational Science, University of Kentucky, Lexington, KY, USA.

Proceedings of the ... IEEE International Conference on Information Reuse and Integration. IEEE International Conference on Information Reuse and Integration
|April 18, 2017
PubMed
Summary

This study shows how to reuse existing terminologies and vocabularies as facets in faceted browsing systems using a category theory model. This approach enables cohesive, interactive systems for better information retrieval.

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Area of Science:

  • Information Science
  • Computer Science
  • Applied Mathematics

Background:

  • Faceted browsing systems rely on taxonomies for user interaction.
  • Controlled vocabularies are often curated externally and reusable across systems.
  • Previous work modeled faceted browsing using category theory.

Purpose of the Study:

  • To integrate heterogeneous terminologies into a category-theoretic model of faceted browsing.
  • To demonstrate the reuse of existing terminologies and vocabularies as facets.
  • To extend the model for cross-system integration of terminologies.

Main Methods:

  • Developed a category-theoretic model for faceted browsing.
  • Integrated heterogeneous terminologies into the model.

Related Experiment Videos

  • Illustrated reuse and integration with biomedical domain examples.

    • Main Results:

    • Existing terminologies and vocabularies can be effectively reused as facets.
    • The category-theoretic model supports cohesive and interactive faceted browsing systems.
    • The approach facilitates cross-system integration of terminologies.

    Conclusions:

    • Heterogeneous terminologies can be integrated into a unified faceted browsing framework.
    • Category theory provides a robust foundation for modeling and reusing faceted browsing components.
    • This model enhances interoperability and reusability of terminologies in information systems.