23124 |
Creator |
20fbc73bc6c0afc98372cf072a54acc4 |
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Creator |
2482a533b100c51b082644502f2b86e0 |
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Date |
2007-06 |
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Is Part Of |
p16130073 |
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Is Part Of |
repository |
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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. |
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authorList |
authors |
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presentedAt |
ext-50b15996c29277940545e67f59cf52da |
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status |
peerReviewed |
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uri |
http://data.open.ac.uk/oro/document/10938 |
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uri |
http://data.open.ac.uk/oro/document/14983 |
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uri |
http://data.open.ac.uk/oro/document/19535 |
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uri |
http://data.open.ac.uk/oro/document/5877 |
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volume |
251 |
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type |
AcademicArticle |
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type |
Article |
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label |
Pedrinaci, Carlos and Domingue, John (2007). Towards an ontology for process
monitoring and mining. In: CEUR Workshop Proceedings, 251 pp. 76–87. |
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label |
Pedrinaci, Carlos and Domingue, John (2007). Towards an ontology for process monitoring
and mining. In: CEUR Workshop Proceedings, 251 pp. 76–87. |
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Title |
Towards an ontology for process monitoring and mining |
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in dataset |
oro |