AI planning: systems and techniques
AI Magazine
Mining Client-Side Activity for Personalization
WECWIS '02 Proceedings of the Fourth IEEE International Workshop on Advanced Issues of E-Commerce and Web-Based Information Systems (WECWIS'02)
Weakly-structured Workflows for Knowledge-intensive Tasks: An Experimental Evaluation
WETICE '03 Proceedings of the Twelfth International Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises
The Rational Unified Process: An Introduction
The Rational Unified Process: An Introduction
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 4
Synergizing standard and ad-hoc processes
PAKM'06 Proceedings of the 6th international conference on Practical Aspects of Knowledge Management
A context model for personal knowledge management applications
MRC'05 Proceedings of the Second international conference on Modeling and Retrieval of Context
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The essence of process is repeatability. Organizations, especially for-profit companies, have worked to refine their operations by using well-defined processes that they can manage. In the modern era, many organizations have focused on redesigning their processes by following Hammer’s discussion of business process reengineering (BPR). While BPR is not dependent on information technology (IT), reengineering efforts often have complementary IT efforts. In particular, the focus on process has led to the rise of workflow management systems. The importance of process in daily life has also made it a central field within artificial intelligence (AI), where researchers in planning work to automate the construction of processes the achieve user goals [1-3]. The combination of planning, workflow systems and information retrieval has led to work in the burgeoning field of intelligent processoriented systems for information access. By incorporating a process representation, a process-oriented system can guide users through complex task sequences, while offering relevant information at each step.