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首页> 外文期刊>Applied Intelligence: The International Journal of Artificial Intelligence, Neural Networks, and Complex Problem-Solving Technologies >MWKAT - A META-TOOL-GENERATED KNOWLEDGE ACQUISITION TOOL FOR MULTIMEDIA WORKSTATIONS DEVELOPMENT
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MWKAT - A META-TOOL-GENERATED KNOWLEDGE ACQUISITION TOOL FOR MULTIMEDIA WORKSTATIONS DEVELOPMENT

机译:MWKAT-用于多媒体工作站开发的元工具生成的知识获取工具

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摘要

mwKAT is an interactive knowledge acquisition tool for acquiring domain knowledge about multimedia components. It constructs knowledge bases for a consulting system that produces the design specification for a multimedia workstation according to the user requirements. mwKAT is generated from and executed in GAS, a primitives-based generic knowledge acquisition meta-tool. It contains three acquisition primitives, namely, parameter proposing, constraint proposing, and fix proposing to construct an intermediate knowledge base represented by a dependency model. These primitives identify necessary domain knowledge and guide users to propose significant components, constraints, and fix methods into the dependency model. mwKAT also invokes knowledge verification and validation primitives to verify the completeness, consistency, compilability, and correctness of the intermediate knowledge base. [References: 36]
机译:mwKAT是一种交互式知识获取工具,用于获取有关多媒体组件的领域知识。它为咨询系统构建知识库,该咨询系统根据用户要求为多媒体工作站提供设计规范。 mwKAT由GAS生成并在GAS中执行,GAS是基于基元的通用知识获取元工具。它包含三个获取原语,即参数提议,约束提议和修复提议,以构造依赖模型表示的中间知识库。这些原语标识必要的领域知识,并指导用户提出重要的组件,约束条件并将方法固定到依赖关系模型中。 mwKAT还调用知识验证和确认原语来验证中间知识库的完整性,一致性,可编译性和正确性。 [参考:36]

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