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The Cyc project is predicated on the idea that effective machine learning depends on having a core of knowledge that provides a context for novel learned information – what is known informally as " common sense. " Over the last twenty years, a sufficient core of common sense knowledge has been entered into Cyc to allow it to begin effectively and flexibly(More)
Populating the Cyc Knowledge Base (KB) has been a manual process until very recently. However, there is currently enough knowledge in Cyc for it to be feasible to attempt to acquire additional knowledge autonomously. This paper describes a system that can collect and validate formally represented, fully-integrated knowledge from the Web or any other(More)
The Cyc project is predicated on the idea that effective machine learning depends on having a core of knowledge that provides a context for novel learned information – what is known informally as " common sense. " Over the last twenty years, a sufficient core of common sense knowledge has been entered into Cyc to allow it to begin effectively and flexibly(More)
We describe an approach to extracting and tracking events in which measurable quantities such as economic indicators undergo a change. The causes and consequences of oil price fluctuations are an example of such events, and are tracked in the STT (Situation Tracking Testbed) prototype. We propose a representation of these event types in the logical(More)
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