Learning to Extract Symbolic Knowledge from the World Wide Web

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Learning to Extract Symbolic Knowledge from the World Wide Web (1998)

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by Mark Craven, Dan DiPasquo, Dayne Freitag, Andrew McCallum, Tom Mitchell, Kamal Nigam, Sean Slattery

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403 - 29 self

BibTeX

@MISC{Craven98learningto,
    author = {Mark Craven and Dan DiPasquo and Dayne Freitag and Andrew McCallum and Tom Mitchell and Kamal Nigam and Sean Slattery},
    title = {Learning to Extract Symbolic Knowledge from the World Wide Web},
    year = {1998}
}

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Abstract

The World Wide Web is a vast source of information accessible to computers, but understandable only to humans. The goal of the research described here is to automatically create a computer understandable world wide knowledge base whose content mirrors that of the World Wide Web. Such a

Keyphrases

world wide web extract symbolic knowledge content mirror research described vast source

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