Case-based planning: viewing planning as a memory task
Case-based planning: viewing planning as a memory task
SALT: a knowledge acquisition language for propose-and-revise systems
Artificial Intelligence
Applying AI models to the design of exploratory hypermedia systems
HYPERTEXT '93 Proceedings of the fifth ACM conference on Hypertext
A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
Case-based reasoning
Representation, storage and retrieval of tutorial stories in a social simulation
Representation, storage and retrieval of tutorial stories in a social simulation
Revealing collection structure through information access interfaces
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
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Almost any information you might want is becoming available on-line. The problem is how to find what you need. One strategy to improve access to existing information sources, is intelligent information agents - an approach based on extensive representation and inference. Another alternative is to simply concentrate on better information organization and indexing. Our systems use a form of conceptual indexing sensitive to users' task-specific information needs. We aim for minimalist representation, coding only select aspects of stored items. Rather than supporting reliable automated inference, the primary purpose of our representations is to provide sufficient discrimination and guidance to a user for a given domain and task. This paper argues, using case studies, that minimal representations can make strong contributions to the usefulness and usability of interactive information systems, while minimizing knowledge engineering effort. We demonstrate this approach in several broad spectrum applications including video retrieval and advisory systems.