Free choice Petri nets
Communications of the ACM - Ontology: different ways of representing the same concept
Workflow management: models, methods, and systems
Workflow management: models, methods, and systems
Semantic Analysis of Business Process Executions
EDBT '02 Proceedings of the 8th International Conference on Extending Database Technology: Advances in Database Technology
Workflow mining: a survey of issues and approaches
Data & Knowledge Engineering
Computers in Industry - Special issue: Process/workflow mining
Mining exact models of concurrent workflows
Computers in Industry - Special issue: Process/workflow mining
Discovering workflow models from activities' lifespans
Computers in Industry - Special issue: Process/workflow mining
Discovering models of behavior for concurrent workflows
Computers in Industry - Special issue: Process/workflow mining
Workflow Mining: Discovering Process Models from Event Logs
IEEE Transactions on Knowledge and Data Engineering
Process Aware Information Systems: Bridging People and Software Through Process Technology
Process Aware Information Systems: Bridging People and Software Through Process Technology
A semantic approach to monitor business process
Communications of the ACM - The semantic e-business vision
ICEBE '05 Proceedings of the IEEE International Conference on e-Business Engineering
Discovering Social Networks from Event Logs
Computer Supported Cooperative Work
Business Systems Analysis With Ontologies
Business Systems Analysis With Ontologies
Pellet: A practical OWL-DL reasoner
Web Semantics: Science, Services and Agents on the World Wide Web
Process mining and verification of properties: an approach based on temporal logic
OTM'05 Proceedings of the 2005 Confederated international conference on On the Move to Meaningful Internet Systems - Volume >Part I
BPM'06 Proceedings of the 4th international conference on Business Process Management
Detecting implicit dependencies between tasks from event logs
APWeb'06 Proceedings of the 8th Asia-Pacific Web conference on Frontiers of WWW Research and Development
Mining hierarchies of models: from abstract views to concrete specifications
BPM'05 Proceedings of the 3rd international conference on Business Process Management
The prom framework: a new era in process mining tool support
ICATPN'05 Proceedings of the 26th international conference on Applications and Theory of Petri Nets
Conformance testing: measuring the fit and appropriateness of event logs and process models
BPM'05 Proceedings of the Third international conference on Business Process Management
Mining staff assignment rules from event-based data
BPM'05 Proceedings of the Third international conference on Business Process Management
Process mining in healthcare: data challenges when answering frequently posed questions
BPM' 2012 Proceedings of the 2012 international conference on Process Support and Knowledge Representation in Health Care
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Process mining techniques target the automatic discovery of information about process models in organizations. The discovery is based on the execution data registered in event logs . Current techniques support a variety of practical analysis, but they are somewhat limited because the labels in the log are not linked to any concepts. Thus, in this chapter we show how the analysis provided by current techniques can be improved by including semantic data in event logs. Our explanation is divided into two main parts. The first part illustrates the power of current process mining techniques by showing how to use the open source process mining tool ProM to answer concrete questions that managers typically have about business processes. The second part utilizes usage scenarios to motivate how process mining techniques could benefit from semantic annotated event logs and defines a concrete semantic log format for ProM. The ProM tool is available at www.processmining.org.