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In recent years the amount of unstructured data stored on the Internet and other digital sources has increased significantly. These data contain often valuable, but hardly retrievable information. The term unstructured data refers mainly to data that does not have a data structure. As a result of this, the unstructured data is not easily readable by machines. In this work, we present a simple method for automatic extraction of semantic relations that can be used to precisely locate valuable pieces of information.
|Item Type:||Conference Item|
|Copyright Holders:||2008 The Author|
|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)|
|Depositing User:||Kay Dave|
|Date Deposited:||19 Nov 2010 09:33|
|Last Modified:||09 Aug 2016 13:23|
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