Intention is choice with commitment
Artificial Intelligence
A formal theory of plan recognition and its implementation
Reasoning about plans
Improving knowledge intensive processes through an enterprise knowledge medium
SIGCPR '99 Proceedings of the 1999 ACM SIGCPR conference on Computer personnel research
The Experience Factory and its Relationship to Other Improvement Paradigms
ESEC '93 Proceedings of the 4th European Software Engineering Conference on Software Engineering
Organizational Memory: Processes, Boundary Objects, and Trajectories
HICSS '99 Proceedings of the Thirty-Second Annual Hawaii International Conference on System Sciences-Volume 1 - Volume 1
Organizing Business Knowledge: The MIT Process Handbook
Organizing Business Knowledge: The MIT Process Handbook
Modeling patterns for task models
TAMODIA '04 Proceedings of the 3rd annual conference on Task models and diagrams
Conceptual framework for tasks in information studies: Book Reviews
Journal of the American Society for Information Science and Technology
Data & Knowledge Engineering
Achieving Business Process Flexibility with Business Rules
EDOC '08 Proceedings of the 2008 12th International IEEE Enterprise Distributed Object Computing Conference
A faceted approach to conceptualizing tasks in information seeking
Information Processing and Management: an International Journal
Proceedings of the 1st Workshop on Context, Information and Ontologies
CIGAR: concurrent and interleaving goal and activity recognition
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 3
Business process management: a survey
BPM'03 Proceedings of the 2003 international conference on Business process management
A context model for personal knowledge management applications
MRC'05 Proceedings of the Second international conference on Modeling and Retrieval of Context
Patterns for flexible BPMN workflows
Proceedings of the 16th European Conference on Pattern Languages of Programs
Managing and tracing the traversal of process clouds with templates, agendas and artifacts
BPM'12 Proceedings of the 10th international conference on Business Process Management
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Knowledge-intensive tasks are a blind spot for business process management systems, as these tasks are executed in an unsupervised, highly individual manner. Hence, individual experience is not disseminated and task execution largely depends on implicit knowledge. In this paper we present a framework, realizing situation-specific and personalized task execution support for knowledge-intensive tasks in business processes. As a core concept we suggest activity scheme: a structure capturing a probabilistic task execution model. Activity schemes seamlessly integrate the organizational business process with the individual task execution process based on personalization and generalization of user interactions in the working applications.