A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
Mapping domains to methods in support of reuse
International Journal of Human-Computer Studies
OKBC: a programmatic foundation for knowledge base interoperability
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Creating Semantic Web Contents with Protégé-2000
IEEE Intelligent Systems
The evolution of Protégé: an environment for knowledge-based systems development
International Journal of Human-Computer Studies
Epoch: an ontological framework to support clinical trials management
HIKM '06 Proceedings of the international workshop on Healthcare information and knowledge management
Ontology-enhanced automatic chief complaint classification for syndromic surveillance
Journal of Biomedical Informatics
Using Semantic Web Technologies for Knowledge-Driven Querying of Biomedical Data
AIME '07 Proceedings of the 11th conference on Artificial Intelligence in Medicine
Bio-surveillance Event Models, Open Source Intelligence, and the Semantic Web
BioSecure '08 Proceedings of the 2008 International Workshop on Biosurveillance and Biosecurity
Software-engineering challenges of building and deploying reusable problem solvers
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Change detection in ontologies using DAG comparison
CAiSE'07 Proceedings of the 19th international conference on Advanced information systems engineering
Efficiently querying relational databases using OWL and SWRL
RR'07 Proceedings of the 1st international conference on Web reasoning and rule systems
A review of public health syndromic surveillance systems
ISI'06 Proceedings of the 4th IEEE international conference on Intelligence and Security Informatics
Towards semantic interoperability in a clinical trials management system
ISWC'06 Proceedings of the 5th international conference on The Semantic Web
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Syndromic surveillance requires acquiring and analyzing data that might suggest early epidemics in a community, long before there's categorical evidence of unusual infection. These data are often heterogeneous and noisy, and public health analysts must interpret them with a combination of analytic methods. Syndromic surveillance thus involves integrating data, configuring problem-solving strategies, and mapping integrated data to appropriate methods. The knowledge-based systems community has studied these tasks for years. We present a software architecture that supports knowledge-based data integration and problem solving, thereby facilitating many syndromic surveillance aspects. Central to our approach, a set of reference ontologies supports semantic integration, and a parallelizable blackboard architecture implements invocation of appropriate problem-solving methods and reasoning control. We demonstrate our approach with BioStorm, an experimental system that offers an end-to-end solution to syndromic surveillance.This article is part of a special issue on Homeland Security.