462278 An Ontology-Driven Knowledge Management Framework for Public Health
In this work, we propose a systems engineering inspired Ontology-driven Knowledge Management approach. This approach decomposes public health knowledge into concepts and relations and stores them in a function-based manner in an ontology. Semantic rules enable knowledge retrieval with respect to users’ queries. This novel approach takes a systems engineering perspective to manage public health knowledge. The function-based knowledge representation reduces the hierarchical complexity as well as the heterogeneity of public health knowledge. A West Nile Virus (WNV) outbreak scenario has been studied, and the reasoning results are compared with lessons learned from 1999 WNV outbreak in New York City. The comparison demonstrates the capability of this approach.
See more of this Group/Topical: Computing and Systems Technology Division