A Lightweight RDF Data Model for Business Process Analysis

Abstract : This article presents a lightweight data representation model designed to support real time monitoring of business processes. The model is based on a shared vocabulary defined using open standard representations (RDF) allowing independence and extremely flexible interoperability between applications. The main benefit of this representation is that it is transparent to the data creation and analysis processes; furthermore it can be extended progressively when new information is available. Business Process data represented with this data model can be easily published on-line and shared between applications. After the definition of the data model, in this article, we demonstrate that with the use of this representation it is possible to retrieve and make use of domain specific information without any previous knowledge of the process. This model is a novel approach to real-time process data representation and paves the road to a complete new breed of applications for business process analysis.
Type de document :
Communication dans un congrès
Wil Aalst; John Mylopoulos; Michael Rosemann; Michael J. Shaw; Clemens Szyperski; Philippe Cudre-Mauroux; Paolo Ceravolo; Dragan Gašević. 2nd International Symposium on Data-Driven Process Discovery and Analysis (SIMPDA), Jun 2012, Campione d’Italia, Italy. Springer, Lecture Notes in Business Information Processing, LNBIP-162, pp.1-23, 2013, Data-Driven Process Discovery and Analysis. 〈10.1007/978-3-642-40919-6_1〉
Liste complète des métadonnées

Littérature citée [15 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/hal-01474693
Contributeur : Hal Ifip <>
Soumis le : jeudi 23 février 2017 - 09:39:01
Dernière modification le : jeudi 23 février 2017 - 09:40:41
Document(s) archivé(s) le : mercredi 24 mai 2017 - 12:32:50

Fichier

978-3-642-40919-6_1_Chapter.pd...
Fichiers produits par l'(les) auteur(s)

Licence


Distributed under a Creative Commons Paternité 4.0 International License

Identifiants

Citation

Marcello Leida, Basim Majeed, Maurizio Colombo, Andrej Chu. A Lightweight RDF Data Model for Business Process Analysis. Wil Aalst; John Mylopoulos; Michael Rosemann; Michael J. Shaw; Clemens Szyperski; Philippe Cudre-Mauroux; Paolo Ceravolo; Dragan Gašević. 2nd International Symposium on Data-Driven Process Discovery and Analysis (SIMPDA), Jun 2012, Campione d’Italia, Italy. Springer, Lecture Notes in Business Information Processing, LNBIP-162, pp.1-23, 2013, Data-Driven Process Discovery and Analysis. 〈10.1007/978-3-642-40919-6_1〉. 〈hal-01474693〉

Partager

Métriques

Consultations de la notice

136

Téléchargements de fichiers

89