Making a business process more dynamic is an open issue, and we think it is feasible if we decompose the business process structure in a set of rules, like ECA (Event Condition Action) rules, each of them representing a transition of the business process, i.e. an edge of the business process graph structure. As a consequence the business process engine can be realized by reusing and integrating an existing Rule Engine. We are proposing a way for representing Dynamic Business Process in terms of Rules based on patterns identification. With this approach it is easy to apply on a business process instance both user-based personalization rules and automatic rules inferred by an underlying context-aware system.
Dynamic context-aware business process: a rule-based approach supported by pattern identification / MEJIA BERNAL, JOSE FELIPE; Falcarin, Paolo; Morisio, Maurizio; Dai, Jia. - (2010), pp. 470-474. (Intervento presentato al convegno SAC-10, 2010 ACM Symposium on Applied Computing tenutosi a Sierre (CHE) nel March 22-26, 2010) [10.1145/1774088.1774186].
Dynamic context-aware business process: a rule-based approach supported by pattern identification
MEJIA BERNAL, JOSE FELIPE;FALCARIN, PAOLO;MORISIO, MAURIZIO;DAI, JIA
2010
Abstract
Making a business process more dynamic is an open issue, and we think it is feasible if we decompose the business process structure in a set of rules, like ECA (Event Condition Action) rules, each of them representing a transition of the business process, i.e. an edge of the business process graph structure. As a consequence the business process engine can be realized by reusing and integrating an existing Rule Engine. We are proposing a way for representing Dynamic Business Process in terms of Rules based on patterns identification. With this approach it is easy to apply on a business process instance both user-based personalization rules and automatic rules inferred by an underlying context-aware system.Pubblicazioni consigliate
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https://hdl.handle.net/11583/2284668
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