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WebProtégé: a collaborative Web-based platform for editing biomedical ontologies.

Matthew Horridge1, Tania Tudorache1, Csongor Nuylas1

  • 1Stanford Center for Biomedical Informatics Research, Stanford University, 1265 Welch Road, Stanford, CA 94305, USA.

Bioinformatics (Oxford, England)
|April 29, 2014
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Summary

WebProtégé is an open-source web application designed for editing OWL 2 ontologies, enhancing collaboration with features like issue tracking and revision history. Its user interface is optimized for biomedical and Open Biomedical Ontology (OBO) metadata editing.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Ontology Engineering

Background:

  • Ontologies are crucial for organizing and sharing biomedical knowledge.
  • Existing ontology editors may lack features for collaborative editing and specialized biomedical data.
  • WebProtégé aims to address these limitations by providing a collaborative, web-based platform.

Purpose of the Study:

  • To introduce WebProtégé, an open-source web application for editing OWL 2 ontologies.
  • To highlight features that facilitate collaboration in ontology development.
  • To describe the user interface's optimization for biomedical and OBO ontologies.

Main Methods:

  • WebProtégé is implemented in Java and JavaScript, utilizing the OWL API and Google Web Toolkit.
  • It offers features such as issue discussion, change notification, and revision-based change tracking.
  • The user interface is configurable with views optimized for Open Biomedical Ontology (OBO) class descriptions and metadata.

Main Results:

  • WebProtégé provides a collaborative environment for ontology editing.
  • Its interface is tailored for the specific needs of biomedical ontologies and OBO metadata.
  • The application is accessible via the web and can be run locally.

Conclusions:

  • WebProtégé is a versatile, open-source tool for collaborative OWL 2 ontology editing.
  • It simplifies the editing of complex biomedical and OBO ontologies.
  • Its availability and features support widespread adoption in the research community.