A Distributed Event-triggered Knowledge Sharing System

Government agencies globally are facing problems such as illegal immigration, terrorism, and disease diagnosis and control. Solutions to these problems rely heavily on collaborating organizations ’ ability to effectively and efficiently share not only data but also knowledge embedded in organizational and interorganizational policies, regulations and constraints. Responding to an emergency often requires organizational and interorganizational processes and complex operating procedures to be followed. We focus on the sharing of data associated with events of interest to collaborating organizations. Condition-actionalternative-action rules, logic/derivation rules, and constraint rules are used to define organizational and inter-organizational policies, regulations, and data and security constraints. Structures of these heterogeneous rules are used to capture organizational and interorganizational processes and operating procedures. In this demonstration, operational procedures developed by collaborating organizations in USDA’s National Plant Diagnostics Network (NPDN) will be used to show the knowledge definition facilities and the distributed event-triggered knowledge sharing strategy