Learning to construct knowledge bases from the World Wide Web

Mark Craven, Dan DiPasquo, Dayne Freitag, Andrew McCallum, Tom M. Mitchell · Artificial Intelligence · 2000

Summary

The goal of the research described here is to automatically create a computer understandable knowledge base whose content mirrors that of the World Wide Web, and several machine learning algorithms for this task are described, and promising initial results with a prototype system that has created a knowledge base describing university people, courses, and research projects.

Type: article
Published: 2000-04-01
Cited by: 560
References: 70
Access: Open access
DOI: https://doi.org/10.1016/s0004-3702(00)00004-7
OpenAlex: https://openalex.org/W2033709196
Semantic Scholar: https://api.semanticscholar.org/CorpusID:5303928

Keywords

Computer science, Knowledge base, Hypertext, Hyperlink, Construct (python library)

References

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Learning to construct knowledge bases from the World Wide Web

Summary

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