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Extraction of semantic relations from texts

Knoth, Petr (2008). Extraction of semantic relations from texts. In: Conference and Student EEICT 2008, 24 Apr 2008, Brno, Czech Republic.

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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 or Workshop Item
Copyright Holders: 2008 The Author
Keywords: CORE
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Research Group: Big Scientific Data and Text Analytics Group (BSDTAG)
Centre for Research in Computing (CRC)
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Item ID: 24745
Depositing User: Kay Dave
Date Deposited: 19 Nov 2010 09:33
Last Modified: 02 Apr 2019 13:41
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