Alani, Harith; Kim, Sanghee; Millard, David E.; Weal, Mark J.; Lewis, Paul H.; Hall, Wendy and Shadbolt, Nigel R.
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A large amount of digital information available is written as text documents in the form of web pages, reports, papers, emails, etc. Extracting the knowledge of interest from such documents from multiple sources in a timely fashion is therefore crucial. This paper provides an update on the Artequakt system which uses natural language tools to automatically extract knowledge about artists from multiple documents based on a predefined ontology. The ontology represents the type and form of knowledge to extract. This knowledge is then used to generate tailored biographies. The information extraction process of Artequakt is detailed and evaluated in this paper.
|Item Type:||Conference Item|
|Copyright Holders:||2003 The Authors|
|Academic Unit/Department:||Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
|Interdisciplinary Research Centre:||Centre for Research in Computing (CRC)
Centre for Policing Research and Learning (CPRL)
|Depositing User:||Harith Alani|
|Date Deposited:||15 Apr 2010 12:41|
|Last Modified:||04 Oct 2016 19:26|
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