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Development of Ontology and 3D Software for the Diseases of Spine
- Source :
- Advances in Multimedia, Vol 2015 (2015)
- Publication Year :
- 2015
- Publisher :
- Hindawi Publishing Corporation, 2015.
-
Abstract
- KISTI is carrying out an e-Spine project for spinal diseases to prepare for the aged society, so-called NAP. The purpose of the study is to build a spine ontology that represents the anatomical structure and disease information which is compatible with simulation model of KISTI. The final use of the ontology includes diagnosis of diseases and setting treatment directions by the clinicians. The ontology was represented using 3D software. Twenty diseases were selected to be represented after discussions with a spine specialist. Several ontology studies were reviewed, reference books were selected for each disease and were organized in MS Excel. All the contents were then reviewed by the specialists. Altova SemanticWorks and Protégé were used to code spine ontology with OWL Full model. Links to the images from KISTI and sample images of diseases were included in the ontology. The OWL ontology was also reviewed by the specialists again with Protégé. We represented unidirectional ontology from anatomical structure to disease, images, and treatment. The ontology was human understandable. It would be useful for the education of medical students or residents studying diseases of spine. But in order for the computer to understand the ontology, a new model with OWL DL or Lite is needed.
- Subjects :
- Structure (mathematical logic)
General Computer Science
Ms excel
Article Subject
Computer science
business.industry
Web Ontology Language
Ontology (information science)
Protégé
lcsh:QA75.5-76.95
World Wide Web
Open Biomedical Ontologies
Software
Full model
lcsh:Electronic computers. Computer science
business
computer
computer.programming_language
Subjects
Details
- Language :
- English
- ISSN :
- 16875680
- Database :
- OpenAIRE
- Journal :
- Advances in Multimedia
- Accession number :
- edsair.doi.dedup.....0be1b0245312ab2c70112c5220abedbd
- Full Text :
- https://doi.org/10.1155/2015/420848