A Biosurveillance Platform for BioSense Message Analysis Using Integrated Reference Ontologies and Intelligent Agents

Cecil O Lynch, Craig Cunningham,Eric Schripsema,Tim Morris,Barrry Rhodes

In this paper we describe a prototype application for real time BioSense message analysis and classification using an intelligent reasoning platform for the distribution of and collaboration between intelligent system components and a common domain knowledgebase provided by the OntoReason Public Health Ontology (OTR Ontology). The purpose of the prototype is to validate the systems' ability to classify diseases and syndromes, correlate and aggregate incoming messages, and provide situational awareness based on the inferred syndrome or disease classification and status. Future work includes planning for the distribution and management of intelligent system components, dynamic integration of distributed reference knowledgebases, and tools for localization of intelligent systems knowledgebases in the field for real-time data collection and analysis.

Subjects: 3. Automated Reasoning; 11.2 Ontologies

Submitted: Sep 14, 2007