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Ontology Learning from Text

Authors:
Abel Browarnik
Oded Maimon

Keywords: Ontology Learning from text; Ontology Learning Layer Cake Model; Language Modeling; Clauses; Subsentences.

Abstract:
We analyze the ontology learning objectives, reviewing the type of input one would expect to meet when learning ontologies - peer-reviewed scientific papers in English, papers that undergo quality control. We analyze the Ontology Learning Layer Cake model and its shortcomings, proposing alternative models for ontology learning based on linguistic knowledge and existing, wide coverage syntactical, lexical and semantic resources, using constructs such as clauses. We conclude, after showing that the Ontology Learning Layer Cake has a low maximum F measure (probably below 0.6), that the alternatives should be explored.

Pages: 62 to 68

Copyright: Copyright (c) IARIA, 2015

Publication date: April 19, 2015

Published in: conference

ISSN: 2519-8386

ISBN: 978-1-61208-445-9

Location: Barcelona, Spain

Dates: from April 19, 2015 to April 24, 2016