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Automatic Ontology-Based Knowledge Extraction from Web Documents
January/February 2003 (vol. 18 no. 1)
pp. 14-21
Harith Alani, University of Southampton
Sanghee Kim, University of Southampton
David E. Millard, University of Southampton
Mark J. Weal, University of Southampton
Wendy Hall, University of Southampton
Paul H. Lewis, University of Southampton
Nigel R. Shadbolt, University of Southampton

The Artequakt project seeks to automatically extract knowledge about artists from the Web, populate a knowledge base, and use it to generate personalized narrative biographies. The system architecture has three key components-knowledge extraction, information management, and biography construction. An example of the generation of a short biography of Rembrandt illustrates Artequakt's functionality.

Index Terms:
knowledge extraction, ontology population, narrative generation
Citation:
Harith Alani, Sanghee Kim, David E. Millard, Mark J. Weal, Wendy Hall, Paul H. Lewis, Nigel R. Shadbolt, "Automatic Ontology-Based Knowledge Extraction from Web Documents," IEEE Intelligent Systems, vol. 18, no. 1, pp. 14-21, Jan.-Feb. 2003, doi:10.1109/MIS.2003.1179189
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