Understanding and Using Context
Personal and Ubiquitous Computing
Coordination Artifacts: Environment-Based Coordination for Intelligent Agents
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1
Work coordination, workflow, and workarounds in a medical context
CHI '05 Extended Abstracts on Human Factors in Computing Systems
Case handling: a new paradigm for business process support
Data & Knowledge Engineering
YAWL: yet another workflow language
Information Systems
Database Systems for Advanced Applications
Business Process Lines to Deal with the Variability
HICSS '10 Proceedings of the 2010 43rd Hawaii International Conference on System Sciences
Dynamic context-aware business process: a rule-based approach supported by pattern identification
Proceedings of the 2010 ACM Symposium on Applied Computing
An outlook on semantic business process mining and monitoring
OTM'07 Proceedings of the 2007 OTM Confederated international conference on On the move to meaningful internet systems - Volume Part II
A generic import framework for process event logs
BPM'06 Proceedings of the 2006 international conference on Business Process Management Workshops
FORBAC: a flexible organisation and role-based access control model for secure information systems
ADVIS'06 Proceedings of the 4th international conference on Advances in Information Systems
Dynamic context-aware Business Process flexibility: an artefact-based approach using process mining
International Journal of Business Intelligence and Data Mining
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Workflow Management Systems (WFMSs) have been regarded as one of the main types of the next generation information systems. They are perceived that workflow technology not only requires the support for complex data model functionality, but also flexibility for dynamically modifying the workflow specifications. Nowadays, approaches that aim to increase flexibility neglects the Business Process Context. Context is any information that can be used to characterize the situation of an entity (i.e., a person, computing device, or non-computational physical object). This paper proposes a Context-aware process mining framework by which contexts will be automatically captured from Business Process execution environments in order to maximize the flexibility of business Processes. Indeed, it describes how process mining techniques are used to extract information on business process context and how we reason about those information.