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Towards Identifying Ontological Semantic Defaults with Big Data: Preliminary Results

Authors:
Tatiana Ringenberg
Julia Taylor
John Springer
Victor Raskin

Keywords: big data, Hadoop, Nutch, conceptual default, Ontological Semantic Technology

Abstract:
This paper reports on a work-in-progress and suggests a method of detecting conceptual defaults in natural language big data. It combines Hadoop and Nutch technologies for web crawling with the Ontological Semantic Technology (OST) in an initial effort of this kind. Initial results demonstrate the viability of this method to detect unintended inference within text.

Pages: 103 to 107

Copyright: Copyright (c) IARIA, 2015

Publication date: March 22, 2015

Published in: conference

ISSN: 2308-4197

ISBN: 978-1-61208-390-2

Location: Nice, France

Dates: from March 22, 2015 to March 27, 2015