Abstract
In this research, a knowledge-based architecture for a mobile emergency medical assistance system is presented. It is based on the France SAMU model and dopts the ontology and mobile computing approaches. The contribution is characterized for providing routines and medical protocol specifications for specialists through the use of their natural language, collecting elements from this language to develop an ontology domain, and using a semantic cache for an enhanced utilization of mobile devices. A prototype of the proposal was implemented in order to support specialists during a day-to-day basis considering knowledge engineering aided by mobile computing techniques. These differentiated characteristics have proved to be successfully at early experiments utilizing the implemented prototype.
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Manica, H., Rocha, C.C., Todesco, J.L., Dantas, M.A.R. (2010). Developing Knowledge Representation in Emergency Medical Assistance by Using Semantic Web Techniques. In: Du, W., Ensan, F. (eds) Canadian Semantic Web. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-7335-1_7
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