@conference {leake1999task-based,
	title = {Task-based knowledge management},
	booktitle = {Proceedings of the AAAI-99 Workshop Exploring Synergies of Knowledge Management and Case-Based Reasoning},
	year = {1999},
	pages = {35-39},
	publisher = {AAAI Press},
	organization = {AAAI Press},
	address = {Orlando, FL},
	abstract = {Case-based reasoning is receiving much attention as a technology for building knowledge repositories that can be queried for task-relevant information. Taking the CBR problem-solving model seriously, however, suggests the value of a much stronger integration between knowledge management systems and the tasks that they serve. In this integrated view, knowledge management systems should be designed to do {\i}t just-in-time retrieval,} anticipating task-based information needs and satisfying them automatically before the user requests information, and should learn unobtrusively by monitoring the user{\textquoteright}s task performance. Key issues include how to integrate knowledge access into the user{\textquoteright}s problem-solving process, how to automatically provide the user with task-relevant information from multiple sources, and how to build up knowledge for transmission between task phases and for long-term storage. This paper describes how these issues are addressed in the Stamping Advisor, a system to aid the design of stamped automotive parts. This system automatically presents the designer with needed information in a natural way, uses CBR and task-focused information retrieval to access useful information, and automatically captures relevant information to support downstream task processes and build its memory of cases.},
	keywords = {artificial intelligence},
	author = {David Leake and Kristian Hammond and Lawrence Birnbaum and Cameron Marlow and Howard Yang}
}