Knowledge Begets Knowledge: Steps towards Assisted Knowledge Acquisition in Cyc

M. Witbrock, Cynthia Matuszek, Antoine Brusseau, Robert C. Kahlert, C. B. Fraser, D. Lenat
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引用次数: 29

Abstract

The Cyc project is predicated on the idea that, in order to be effective and flexible, computer software must have an understanding of the context in which its tasks are performed. We believe this context is what is known informally as “common sense.” Over the last twenty years, sufficient common sense knowledge has been entered into Cyc to allow it to more effectively and flexibly support an important task: increasing its own store of world knowledge. In this paper, we describe the Cyc knowledge base and inference system, enumerate the means that it provides for knowledge elicitation, including some means suitable for use by untrained or lightly trained volunteers, review some ways in which we expect to have Cyc assist in verifying and validating collected knowledge, and describe how we expect the knowledge acquisition process to accelerate in the future.
知识产生知识:Cyc中辅助知识获取的步骤
Cyc项目基于这样的理念:为了高效和灵活,计算机软件必须理解其任务执行的环境。我们相信这种背景就是我们非正式地称为“常识”的东西。在过去的二十年里,已经有足够的常识知识进入Cyc,使其能够更有效和灵活地支持一项重要任务:增加自己的世界知识储备。在本文中,我们描述了Cyc知识库和推理系统,列举了它为知识获取提供的手段,包括一些适合未经培训或少量培训的志愿者使用的手段,回顾了我们期望Cyc协助验证和验证收集到的知识的一些方法,并描述了我们期望如何在未来加速知识获取过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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