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Related Experiment Video

Updated: Feb 23, 2026

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

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Published on: February 23, 2019

Expert2OWL: A Methodology for Pattern-Based Ontology Development.

Kais Tahar¹, Jie Xu¹, Heinrich Herre¹

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

Studies in Health Technology and Informatics

|September 9, 2017

Summary

This summary is machine-generated.

Expert2OWL streamlines ontology creation for domain experts by integrating Excel spreadsheets. This facilitates the development of specialized ontologies, such as the Chinese Herbology ontology, for applications like Semantic Web and expert systems.

Keywords:

Biomedical Representation Expert2OWL Herbal Medicine Ontology development TCM

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Area of Science:

Computer Science
Bioinformatics
Knowledge Representation

Background:

Manual ontology construction is time-consuming and expensive.
Domain experts often lack formal ontology language expertise.
Existing methods pose barriers to effective expert-ontologist collaboration.

Purpose of the Study:

To develop a novel method and tool, Expert2OWL, for efficient OWL ontology construction.
To enable seamless collaboration between ontologists and domain experts.
To expedite ontology development and promote modularity.

Main Methods:

Expert2OWL integrates Excel spreadsheets into a pattern-based ontology development process.
Utilizes General Formal Ontology (GFO) as a top-level ontology.
Applies the method to generate a Chinese Herbology ontology (CHO).

Main Results:

Expert2OWL significantly expedites ontology development.
The generated Chinese Herbology ontology (CHO) is accurate and modular.
CHO effectively answers complex scientific queries using SPARQL and DL.

Conclusions:

Expert2OWL overcomes barriers in manual ontology creation.
The tool facilitates expert-driven ontology development, exemplified by CHO.
Ontologies generated using this method hold significant potential for scientific applications.