A Distributed Event-triggered Knowledge Sharing System for Agricultural Homeland Security

Degwekar, Seema; DePree, Jeff; Beck, Howard W.; Su, Stanley Y. W.

doi:10.1109/ths.2007.370042

Cited by 3 publications

(1 citation statement)

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“…Since plant samples and analysis results need to be transmitted to many organizations for analyses and use, there is a need for event notification, automatic delivery of event data, and distributed processing of multifaceted knowledge and application operations among these organizations. A prototype system, which uses an Event-Trigger-Rule Server [7,8] to process condition-action rules in the NPDN environment, has been reported in [9]. This work is an extension of the prototype.…”

Section: Collaboration Federation and Scenariomentioning

confidence: 99%

Processing distributed event data and multifaceted knowledge in a collaboration federation

Degwekar

Sardesai

et al.

IRI -2005 IEEE International Conference on Information Reuse and Integration, Conf, 2005.

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All nations are facing many global problems, the solutions to which require efficient and effective sharing of distributed, heterogeneous data, knowledge and application systems. We present a way to capture organizations' multi-faceted knowledge by three popular rule types and rule structures, and wrap them as Web Services for their registration, discovery and invocation. Distributed data associated with events defined by these organizations are transmitted through a distributed event infrastructure to those sites that contain applicable rules. The processing of heterogeneous rules and application operations specified in rules may add to or modify the event data to produce a dynamic event data set that can be used to support collaborating organizations' decisionmaking and problem solving. A peer-to-peer architecture of a distributed system and the functions of its components are described. Issues and approaches related to event data evolution and distributed rule and trigger processing are also discussed.

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Section: Collaboration Federation and Scenariomentioning

confidence: 99%