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Impact Assessment of Repeated Exposure of Organotypic 3D Bronchial and Nasal Tissue Culture Models to Whole Cigarette Smoke
Published on: February 12, 2015
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CSEO - the Cigarette Smoke Exposure Ontology
Erfan Younesi1, Sam Ansari2, Michaela Guendel1
1Fraunhofer Institute for Algorithms and Scientific Computing SCAI, Schloss Birlinghoven, 53754 Sankt Augustin, Germany.
Journal of Biomedical Semantics
|August 6, 2014
Summary
A new ontology, the Cigarette Smoke Exposure Ontology (CSEO), has been developed to standardize tobacco smoke exposure data. This ontology facilitates data integration and supports systems toxicology research.
Area of Science:
- Exposure science
- Systems toxicology
- Bioinformatics
Background:
- Extensive data on tobacco smoke exposure and associated diseases necessitates standardized vocabularies.
- Existing data integration methods are insufficient for the growing volume of tobacco exposure information.
Purpose of the Study:
- To develop a domain-specific ontology for tobacco smoke exposure data.
- To facilitate the integration and analysis of complex exposure science datasets.
Main Methods:
- Development of the Cigarette Smoke Exposure Ontology (CSEO) version 1.0.
- Evaluation of CSEO's ability to capture exposure concepts and answer domain expert questions.
- Ensuring compliance with standard upper-level ontologies.
Main Results:
- The CSEO comprises 20,091 concepts, effectively covering cigarette smoke exposure.
- Demonstrated reasonable sensitivity and specificity in capturing relevant concepts.
- Showed promising performance in domain expert question-answering tasks.
- CSEO is accessible via a public wiki.
Conclusions:
- The CSEO has the potential to become a widely adopted standard in academic and industrial settings.
- Addresses the need for controlled vocabularies in systems toxicology.
- Enables integrative, systems-based research in exposure science.
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