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Formal Ontology in Information Systems, Proceedings of the Sixth International Conference, FOIS 2010, Toronto, Canada, May 11-14, 2010; 01/2010
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Computational Science and Its Applications - ICCSA 2006, International Conference, Glasgow, UK, May 8-11, 2006, Proceedings, Part IV; 01/2006
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ABSTRACT: Development of a Semantic Web technology based system for the formalization of the gross description.
A system is developed using the Java-2 platform. It is based on a light-weight version of the Galen top level ontology. Web technologies like XML, SAX en DOM have been used.
Three system components have been developed to support the semantic, the object and the syntax layers of the PathOnt architecture.
The PathOnt approach provides a tool for the communication among clinicians and technicians involved in pathology examinations. This tool also provides a foundation for linking the specimen-specific data with the controlled medical ontology so that the stored information can be used in different circumstances.
International Journal of Medical Informatics 07/2005; 74(5):399-407. · 2.41 Impact Factor
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ABSTRACT: Co-Surgeon is an Internet-based tele-simulation surgery system.
The system combines 3D surgery simulation with CSCW technology to enable
surgeons to collaboratively simulate alternative treatment plans over
the Internet. It enables multiple users in remote locations to
manipulate 3D anatomical models and to simulate surgical operations
while sharing a view of the simulation. In addition, the system can
store the simulated procedure so that offline users can later replay it
and participate asynchronously. Co-Surgeon can also manage the
procedures, facilitating the use of the simulation capability and
widening the system's application in surgical education and reference.
This article describes Co-Surgeon's design and implementation, and
reports results from laboratory tests of a prototype system
IEEE Internet Computing 06/2001; · 2.00 Impact Factor
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ABSTRACT: In the practice of dentistry, few biomedical ontologies exist that support dentists' decisions or meet their clinical needs. Unlike other medical domains, a dental concept requires specific identification in terms of position. In order to assist with dentists' clinical tasks, we created a tooth ontology in Web Ontology Language (OWL) with embedded spatial relations. In this paper, we share our experiences in building and maintaining this tooth ontology.
