Alani, Harith; Kim, Sanghee; Millard, David E.; Weal, Mark J.; Hall, Wendy; Lewis, Paul H. and Shadbolt, Nigel
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The Web is probably the largest and richest information repository available today. Search engines are the common access routes to this valuable source. However, the role of these search engines is often limited to the retrieval of lists of potentially relevant documents. The burden of analysing the returned documents and identifying the knowledge of interest is therefore left to the user. The Artequakt system aims to deploy natural language tools to automatically ex-tract and consolidate knowledge from web documents and instantiate a given ontology, which dictates the type and form of knowledge to extract. Artequakt focuses on the domain of artists, and uses the harvested knowledge to gen-erate tailored biographies. This paper describes the latest developments of the system and discusses the problem of knowledge consolidation.
|Item Type:||Conference Item|
|Copyright Holders:||2003 The Authors|
|Keywords:||information extraction; ontology instantiation; knowledge consolidation;|
|Academic Unit/Department:||Knowledge Media Institute|
|Interdisciplinary Research Centre:||Centre for Research in Computing (CRC)|
|Depositing User:||Harith Alani|
|Date Deposited:||15 Apr 2010 10:59|
|Last Modified:||25 Feb 2016 02:00|
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