Jihie Kim
ABSTRACT
Current knowledge acquisition tools have limited understanding of how users enter knowledge and how acquired knowledge is used, and provide limited assistance in organizing various knowledge authoring tasks. Users have to make up for these shortcomings by keeping track of past mistakes, current status, potential new problems, and possible courses of actions by themselves. In this paper, we present a novel extension to existing knowledge acquisition tools where the system organizes the episodes of past interactions through a set of declarative meta-level patterns and improves its suggestions based on relevant episodes. In particular, we focus on 1) assessing the level of confidence in suggesting an action, 2) suggesting how a knowledge authoring action can be done based on successful past actions, and 3) monitoring dynamic changes in the environment to suggest relevant modifications in the knowledge base. A preliminary study with varying synthetic user interactions shows that this meta-level assessment may reduce the number of incorrect suggestions, prevent some of the user mistakes and improve the overall problem solving results.
- Kim, J. Reflection Patterns for Interactive Knowledge Capture,http://www.isi.edu/~jihie/papers/echo-RP.pdf.Google Scholar
- Kim, J. and Gil, Y., Acquiring Problem-Solving Knowledge from End Users: Putting Interdependency Models to the Test. Proceedings of AAAI-2000, 2000. Google ScholarDigital Library
Index Terms
- Meta-level patterns for interactive knowledge capture
Recommendations
Eliciting Knowledge and Transferring It Effectively to a Knowledge-Based System
The knowledge acquisition bottleneck impeding the development of expert systems is being alleviated by the development of computer-based knowledge acquisition tools. These work directly with experts to elicit knowledge, and structure it appropriately to ...
Knowledge acquisition for knowledge-based engineering systems
This paper is essentially concerned with the development of formal representations of knowledge required prior to the development of knowledge-based engineering systems (KBESs). Initially, the paper provides a brief introduction to knowledge-based ...
A framework and computer system for knowledge-level acquisition, representation, and reasoning with process knowledge
The development of knowledge-based systems is usually approached through the combined skills of software and knowledge engineers (SEs and KEs, respectively) and of subject matter experts (SMEs). One of the most critical steps in this task aims at ...
Comments