Varieties of knowledge elicitation techniques
International Journal of Human-Computer Studies
Introduction to knowledge systems
Introduction to knowledge systems
Communications of the ACM
Derivation of glue code for agent interoperation
AGENTS '00 Proceedings of the fourth international conference on Autonomous agents
Knowledge engineering and management: the CommonKADS methodology
Knowledge engineering and management: the CommonKADS methodology
The Knowledge Acquisition and Representation Language, KARL
IEEE Transactions on Knowledge and Data Engineering
Acquiring Problem-Solving Knowledge from End Users: Putting Interdependency Models to the Test
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Generating natural language summaries from multiple on-line sources
Computational Linguistics - Special issue on natural language generation
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We propose a new approach to develop knowledge bases that captures at different levels of formality and specificity how each piece of knowledge in the system was derived from original sources, which are often Web sources. If a knowledge base contains a trace of information about how each piece of knowledge was defined, it will be easier to reuse, extend, and translate the contents of the knowledge base. We are investigating these issues with IKRAFT, an interactive tool to elicit from users the rationale for choices and decisions as they analyze information used in building a knowledge base. Starting from raw information sources, most of them originating on the Web, users are able to specify connections between selected portions of those sources. These connections are initially very high level and informal, and our ultimate goal is to develop a system that will help users to formalize them further.