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An Approach to Support Collaborative Ontology Construction.

Kais Tahar1, Michael Schaaf1, Franziska Jahn1

  • 1Institute of Medical Informatics, Statistics and Epidemiology, Medical Faculty, University of Leipzig.

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Summary
This summary is machine-generated.

Developing formal ontologies for hospital information management (IM) education is challenging. A new approach using Excel2OWL facilitates collaborative ontology creation, improving learning and semantic analysis for IM students.

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Area of Science:

  • Medical Informatics
  • Knowledge Representation
  • Ontology Engineering

Background:

  • Hospital information management (IM) education faces challenges due to the complexity and volume of terminology in textbooks.
  • Traditional manual ontology construction is time-consuming, expensive, and requires specialized skills often lacking in domain experts.
  • Existing tools for ontology development may not be user-friendly for healthcare professionals.

Purpose of the Study:

  • To present a novel ontology modeling approach to support the collaborative construction of formal ontologies from textbooks.
  • To facilitate the learning process in hospital information management (IM) education through accessible ontology development.
  • To enable rapid detection of errors and quality improvement of ontologies by domain experts and ontologists.

Main Methods:

  • Development of Excel2OWL, a tool designed for efficient, collaborative ontology construction from textbook content.
  • Application of the approach to classic IM textbooks, resulting in the SNIK ontology.
  • Facilitation of interaction between domain experts and ontologists throughout the development lifecycle.

Main Results:

  • Successful creation of the SNIK ontology from IM textbooks using the proposed Excel2OWL-based approach.
  • Demonstrated efficiency in collaborative ontology development, error detection, and quality assessment.
  • Enabled automatic visualization and semantic analysis of modeled textbook content.

Conclusions:

  • The Excel2OWL approach significantly enhances the collaborative development of formal ontologies for hospital information management.
  • This method improves the learning experience in IM education and supports e-learning initiatives.
  • The approach provides a scalable and efficient solution for representing complex domain knowledge from textbooks.