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Publicado el 22 . 12 . 2014 por Pablo Hermoso de Mendoza González

Knowledge Discovery for Semantic Web
Dunja Mladenić, Marko Grobelnik, Blaž Fortuna, and Miha Grčar
Abstract:

Knowledge Discovery is traditionally used for analysis of large amounts of data and enables addressing a number of tasks that arise in Semantic Web and require scalable solutions. Additionally, Knowledge Discovery techniques have been successfully applied not only to structured data i.e. databases but also to semi-structured and unstructured data including text, graphs, images and video. Semantic Web technologies often call for dealing with text and sometimes also graphs or social networks.

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