Ci4SeR--curation interface for semantic resources--evaluation with adverse drug reactions
Julien Souvignet1, Hadyl Asfari1, Gunnar Declerck1
1INSERM, U1142, LIMICS, F-75006, Paris, France; Sorbonne Universités, UPMC Univ Paris 06, UMR_S 1142, LIMICS, F-75006, Paris, France; Université Paris 13, Sorbonne Paris Cité, LIMICS, (UMR_S 1142), F-93430, Villetaneuse, France.
Studies in Health Technology and Informatics
|August 28, 2014
Summary
Ci4SeR, a new Graphical User Interface, significantly speeds up semantic resource curation. This tool enhances the review of concepts and addition of axioms for ontologies like OntoADR.
Area of Science:
- Computer Science
- Bioinformatics
- Ontology Engineering
Background:
- Semantic resources require robust evaluation and validation for development.
- Current curation methods can be time-consuming and inefficient.
Purpose of the Study:
- To introduce Ci4SeR, a Graphical User Interface designed to optimize semantic resource curation.
- To assess the efficiency of Ci4SeR in terms of concept review and axiom addition.
Main Methods:
- Development of Ci4SeR, a GUI for optimizing curation of semantic resources with lightweight description logic.
- Testing Ci4SeR on OntoADR, an ontology for adverse drug reactions, by a single curator.
Main Results:
- A single curator reviewed 326 terms (1020 axioms) in 120 hours.
- Ci4SeR increased concept review speed by 68% and axiom addition by 486% compared to manual methods.
- 1874 new axioms were added at a rate of 15.6 axioms per hour.
Conclusions:
- Ci4SeR significantly enhances the efficiency of semantic resource curation.
- Wider adoption of Ci4SeR can improve knowledge modeling completeness and semantic resource quality.
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