Towards an Ontology for Process Monitoring and Mining

Business Process Analysis (BPA) aims at monitoring, diag- nosing, simulating and mining enacted processes in order to support the analysis and enhancement of process models. An eective 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 abstrac- tion 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 dierent levels of abstraction spanning from fine grain technical details to coarse grain aspects at the Business Level.

[1]  Jaap Gordijn,et al.  Business Modelling Is Not Process Modelling , 2000, ER.

[2]  Francisco Curbera,et al.  Web Services Business Process Execution Language Version 2.0 , 2007 .

[3]  Daniel Oberle Semantic Management of Middleware (Semantic Web and Beyond: Computing for Human Experience) , 2006 .

[4]  A. Polleres,et al.  D16.1v0.2 The Web Service Modeling Language WSML , 2005 .

[5]  Jaap Gordijn,et al.  Designing and evaluating e-business models , 2001 .

[6]  Dieter Fensel,et al.  Knowledge Engineering: Principles and Methods , 1998, Data Knowl. Eng..

[7]  H. Akkermans,et al.  e 3-value : Design and Evaluation of e-Business Models , 2001 .

[8]  Boudewijn F. van Dongen,et al.  A Meta Model for Process Mining Data , 2005, EMOI-INTEROP.

[9]  Gregor Hohpe,et al.  Enterprise Integration Patterns: Designing, Building, and Deploying Messaging Solutions , 2003 .

[10]  Thomas R. Gruber,et al.  A translation approach to portable ontology specifications , 1993, Knowl. Acquis..

[11]  Dieter Fensel,et al.  Semantic business process management: a vision towards using semantic Web services for business process management , 2005, IEEE International Conference on e-Business Engineering (ICEBE'05).

[12]  Peter R. Pietzuch,et al.  Distributed event-based systems , 2006 .

[13]  Nicola Guarino,et al.  WonderWeb Deliverable D17. The WonderWeb Library of Foundational Ontologies and the DOLCE ontology , 2002 .

[14]  Boudewijn F. van Dongen,et al.  The ProM Framework: A New Era in Process Mining Tool Support , 2005, ICATPN.

[15]  Nicola Guarino,et al.  Wonderweb Deliverable D17 , 2002 .

[16]  David Luckham,et al.  The power of events - an introduction to complex event processing in distributed enterprise systems , 2002, RuleML.

[17]  Mathias Weske,et al.  Business Process Management: A Survey , 2003, Business Process Management.