Millard, David E.; Alani, Harith; Kim, Sanghee; Weal, Mark J.; Lewis, Paul; Hall, Wendy; Roure, David De and Shadbolt, Nigel
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Accessing and extracting knowledge from online documents is crucial for therealisation of the Semantic Web and the provision of advanced knowledge services.
The Artequakt project is an ongoing investigation tackling these issues to facilitate the creation of tailored biographies from information harvested from the web.
In this paper we will present the methods we currently use to model, consolidate and store knowledge extracted from the web so that it can be re-purposed as adaptive content. We look at how Semantic Web technology could be used within this process and also how such techniques might be used to provide content to be published via the Semantic Web.
|Item Type:||Conference Item|
|Copyright Holders:||2003 The Authors|
|Keywords:||artequakt document generation;|
|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 12:50|
|Last Modified:||05 Oct 2016 13:16|
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