Distributed processing of event data and multi-faceted knowledge in a collaboration federation

Stanley Y.W. Su, Howard Beck, Seema Degwekar, Jeff DePree, Xuelian Xiao, Chen Zhou, Minsoo Lee

Research output: Contribution to conferencePaperpeer-review

Abstract

This paper presents the goal, accomplishments and research issues of an NSF project. The project aims to develop a distributed event-triggered knowledge sharing network (ETKnet) for government organizations to share, not only data and application operations, but also knowledge embedded in organizational and inter-organizational policies, regulations, data and security constraints as well as collaborative processes and operating procedures. A unified knowledge and process specification language has been developed to formally specify multi-faceted human and organizational knowledge in terms of three types of knowledge rules and rule structures. A user-friendly interface is provided for collaborating organizations to define events of interest as well as application operations, knowledge rules, rule structures and triggers. Events are published in a global registry for browsing, querying, event subscription and notification. Rules and rule structures are automatically translated into Web services for distributed processing in ETKnet. Event data are dots that can be connected dynamically across organizational boundaries through the interoperation of knowledge rules, processes and application operations.

Original languageEnglish
Pages64-69
Number of pages6
DOIs
StatePublished - 2008
EventIEEE International Conference on Intelligence and Security Informatics, 2008, IEEE ISI 2008 - Taipei, Taiwan, Province of China
Duration: 17 Jun 200820 Jun 2008

Conference

ConferenceIEEE International Conference on Intelligence and Security Informatics, 2008, IEEE ISI 2008
Country/TerritoryTaiwan, Province of China
CityTaipei
Period17/06/0820/06/08

Keywords

  • Collaboration technology
  • Distributed system
  • Event-based system
  • Knowledge management

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