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Building a Large Knowledge Base from a Structured Source
January/February 1999 (vol. 14 no. 1)
pp. 47-54

The online world is populated by an increasing number of knowledge-rich resources, and there is a growing trend among authors to provide a semantic markup of these resources. This presents a tantalizing prospect. Perhaps the person-years of effort invested in building these knowledge-rich resources can be leveraged to create large-scale knowledge bases.

The World Fact Book knowledge base project has been an experiment in exploring that prospect by constructing a large-scale KB from an SGML source document. The content of the KB is, in large part, derived from the CIA World Fact Book, and it covers a broad range of information about the world's nations.

The authors describe the process used to construct the WFB KB, discuss some of the key representational issues addressed, and show how the resulting representation can be used to answer a variety of queries.

Gleb Frank, Adam Farquhar, Richard Fikes, "Building a Large Knowledge Base from a Structured Source," IEEE Intelligent Systems, vol. 14, no. 1, pp. 47-54, Jan.-Feb. 1999, doi:10.1109/5254.747905
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