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.
9781605586397
File in questo prodotto:
File Dimensione Formato  
2284668.pdf

non disponibili

Tipologia: 2. Post-print / Author's Accepted Manuscript
Licenza: Non Pubblico - Accesso privato/ristretto
Dimensione 290.52 kB
Formato Adobe PDF
290.52 kB Adobe PDF   Visualizza/Apri   Richiedi una copia
Pubblicazioni consigliate

Caricamento pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2284668
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo