An intelligent discussion-bot for answering student queries in threaded discussions
Proceedings of the 11th international conference on Intelligent user interfaces
YALE: rapid prototyping for complex data mining tasks
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Software Product Lines in Action: The Best Industrial Practice in Product Line Engineering
Software Product Lines in Action: The Best Industrial Practice in Product Line Engineering
Case factory: maintaining experience to learn
ECCBR'06 Proceedings of the 8th European conference on Advances in Case-Based Reasoning
A case-based reasoning approach for providing machine diagnosis from service reports
ICCBR'11 Proceedings of the 19th international conference on Case-Based Reasoning Research and Development
Solution mining for specific contextualised problems: towards an approach for experience mining
Proceedings of the 21st international conference companion on World Wide Web
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SEASALT (Sharing Experience using an Agent-based System Architecture LayouT) presents an instantiation of the Collaborating Multi-Expert Systems (CoMES) approach [1]. It offers an application-independent architecture that features knowledge acquisition from a web-community, knowledge modularization, and agent-based knowledge maintenance. The paper introduces an application domain which applies SEASALT and describes each part of the novel architecture for extracting, analyzing, sharing and providing community experiences in an individualized way.