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Issue No.01 - January/February (1999 vol.14)
pp: 47-54
ABSTRACT
<p>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. </p> <p>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.</p> <p>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. </p>
CITATION
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, January/February 1999, doi:10.1109/5254.747905
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