subject predicate object context
23124 Creator 20fbc73bc6c0afc98372cf072a54acc4
23124 Creator 2482a533b100c51b082644502f2b86e0
23124 Date 2007-06
23124 Is Part Of p16130073
23124 Is Part Of repository
23124 abstract Business Process Analysis (BPA) aims at monitoring, diagnosing, simulating and mining enacted processes in order to support the analysis and enhancement of process models. An effective BPA solution must provide the means for analysing existing e-businesses at three levels of abstraction: the Business Level, the Process Level and the IT Level. BPA requires semantic information that spans these layers of abstraction and which should be easily retrieved from audit trails. To cater for this, we describe the Process Mining Ontology and the Events Ontology which aim to support the analysis of enacted processes at different levels of abstraction spanning from fine grain technical details to coarse grain aspects at the Business Level.
23124 authorList authors
23124 presentedAt ext-50b15996c29277940545e67f59cf52da
23124 status peerReviewed
23124 uri http://data.open.ac.uk/oro/document/10938
23124 uri http://data.open.ac.uk/oro/document/14983
23124 uri http://data.open.ac.uk/oro/document/19535
23124 uri http://data.open.ac.uk/oro/document/5877
23124 volume 251
23124 type AcademicArticle
23124 type Article
23124 label Pedrinaci, Carlos and Domingue, John (2007). Towards an ontology for process monitoring and mining. In: CEUR Workshop Proceedings, 251 pp. 76–87.
23124 label Pedrinaci, Carlos and Domingue, John (2007). Towards an ontology for process monitoring and mining. In: CEUR Workshop Proceedings, 251 pp. 76–87.
23124 Title Towards an ontology for process monitoring and mining
23124 in dataset oro