User Assisted Creation of Open-Linked Data for Training Web Information Extraction in a Social Network

Martin Necasky (Charles University, Czech Republic), Ivo Lasek (Charles University, Czech Republic), Dominik Fiser (Charles University, Czech Republic), Ladislav Peska (Charles University, Czech Republic), and Peter Vojtas (Charles University, Czech Republic)
Copyright: © 2013 |Pages: 11
EISBN13: 9781466645950|DOI: 10.4018/978-1-4666-2827-4.ch002
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Abstract

For the first problem we propose several procedures on how to create Open-Linked data, including assisted creation of annotations (serving as base line or training set for Web Information Extraction tools), employing the social network, and also specific approaches to creating Open-linked data from governmental data resources. We describe some cases where such data can be used (e.g., in e-commerce, recommending systems, and in governmental and public policy projects).
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