EROICA: A rule-based approach to organizational policy management in workflow systems

Akhil Kumar, J. Leon Zhao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

Conventional workflow management systems have been criticized for being too rigid in dealing with changes in organizational policies, in particular for the lack of flexible mechanisms for handling complex role resolution. In this paper we describe a rule-based approach (EROICA) for managing organizational policies in workflow systems. Our approach extends the well-known ECA (event-condition-action) approach used in database systems by elevating roles, objects and time intervals to first class citizens, hence the term EROICA (event-role-object-interval-condition-action). In this paper, we focus on the development of a flexible role resolution mechanism that operates under various business constraints specified with EROICA rules. We further discuss the issues of architecture and implementation and demonstrate that the EROICA framework is promising in making next generation of workflow systems more powerful and flexible.

Original languageEnglish (US)
Title of host publicationAdvances in Web-Age Information Management - 3rd International Conference, WAIM 2002, Proceedings
EditorsXiaofeng Meng, Jianwen Su, Yujun Wang
PublisherSpringer Verlag
Pages201-212
Number of pages12
ISBN (Print)9783540440451
StatePublished - Jan 1 2002
Event3rd International Conference on Advances in Web-Age Information Management, WAIM 2002 - Beijing, China
Duration: Aug 11 2002Aug 13 2002

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2419
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other3rd International Conference on Advances in Web-Age Information Management, WAIM 2002
CountryChina
CityBeijing
Period8/11/028/13/02

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All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Kumar, A., & Zhao, J. L. (2002). EROICA: A rule-based approach to organizational policy management in workflow systems. In X. Meng, J. Su, & Y. Wang (Eds.), Advances in Web-Age Information Management - 3rd International Conference, WAIM 2002, Proceedings (pp. 201-212). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2419). Springer Verlag.