Using collaborative filtering to weave an information tapestry
Communications of the ACM - Special issue on information filtering
Taking email to task: the design and evaluation of a task management centered email tool
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
UMEA: translating interaction histories into project contexts
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Workflow mining: a survey of issues and approaches
Data & Knowledge Engineering
Workflow Mining: Discovering Process Models from Event Logs
IEEE Transactions on Knowledge and Data Engineering
Collaborative recommendation: A robustness analysis
ACM Transactions on Internet Technology (TOIT)
Automated email activity management: an unsupervised learning approach
Proceedings of the 10th international conference on Intelligent user interfaces
Patterns of media use in an activity-centric collaborative environment
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Modeling and predicting personal information dissemination behavior
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Unified activity management: supporting people in e-business
Communications of the ACM - The semantic e-business vision
The view-based approach to dynamic inter-organizational workflow cooperation
Data & Knowledge Engineering
Towards Discovering Organizational Structure from Email Corpus
ICMLA '05 Proceedings of the Fourth International Conference on Machine Learning and Applications
Recent shortcuts: using recent interactions to support shared activities
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Searching for experts in the enterprise: combining text and social network analysis
Proceedings of the 2007 international ACM conference on Supporting group work
Predicting individual priorities of shared activities using support vector machines
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Towards comprehensive support for organizational mining
Decision Support Systems
strukt: a pattern system for integrating individual and organizational knowledge work
ISWC'11 Proceedings of the 10th international conference on The semantic web - Volume Part I
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Knowledge intensive process vary widely due to the variation in the specifics of the incoming request and uncertainty in handling and processing that request. Traditional management systems with pre-defined workflows are less effective for enabling these kinds of organizational workflows. Consequently, less structured tools for ad-hoc collaboration, such as Email or activity management systems [8, 16] are used instead because of the flexibility they permit at execution time. However, these ad-hoc collaborative tools are not as capable of capturing best practice knowledge in a manner that is suitable for reuse in similar contexts and future executions of the workflow. We propose to mine knowledge-intensive workflow executions in order to capture and codify best practice knowledge that can be reused to assist and enhance decision making during future executions. We present a model of a dynamic system and a method for knowledge-intensive workflow enactment that captures ad-hoc applications of tacit knowledge as the work is carried out. Our framework is illustrated using a critical and commonly occurring process in industry called the Architecture Life-Cycle (ALC) management process. This process reviews technological changes made to the installed Information Technology (IT) architectures to meet the evolving requirements of the business. We illustrate how our framework allows participants to locally enhance the ALC, by enabling each individual to perform their work in the best way and recording their intentions explicitly using framework mechanisms that relate activities, work products, transitions, and constraints. We illustrate the axioms that filter out best practices that have been observed during executions and feed them back to the collaborators to guide and improve future executions.