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A Survey of Ontology Learning from Text

Authors:
Kaoutar Belhoucine
Mohammed Mourchid

Keywords: Ontology Learning from Text; Ontology Learning Layer Cake Model; Ontology Evaluation; Trends; Challenges.

Abstract:
Ontologies are considered to be a major solution to semantic interoperability in modern information systems. The explosion of textual information on the Web and advanced state in related fields, such as Natural Language Processing (NLP), information retrieval, and data mining, have made (semi-) automatic ontology learning from text a particularly promising research area. This article summarizes the state-of-the-art in ontology learning from text, and discusses the research questions and challenges that remain in this field.

Pages: 14 to 21

Copyright: Copyright (c) IARIA, 2018

Publication date: November 18, 2018

Published in: conference

ISSN: 2308-4510

ISBN: 978-1-61208-678-1

Location: Athens, Greece

Dates: from November 18, 2018 to November 22, 2018