An Ontological Approach to the Extraction of Figures of Speech
Date Issued
2019
Author(s)
Abstract
The purpose of the current paper is to present an on- tological analysis to the identification of a
particular type of prepositional natural language phrases called figures of speech [1] via the
identification of inconsis- tencies in ontological concepts. Prepositional noun phrases are used
widely in a multiplicity of domains to describe real world events and activities. However, one
aspect that makes a prepositional noun phrase poetical is that the latter suggests a semantic relationship between concepts that does not exist in the real world. The current paper discusses how a
set of rules based on Wordnet classes and an ontology repre- senting human behavior and
properties, can be used to identify figures of speech. It also addresses the problem of inconsistency
resulting from the assertion of figures of speech at various levels identifying the problems involved
in their representation. Finally, it discusses how a contextualized approach might help to resolve
this problem.
particular type of prepositional natural language phrases called figures of speech [1] via the
identification of inconsis- tencies in ontological concepts. Prepositional noun phrases are used
widely in a multiplicity of domains to describe real world events and activities. However, one
aspect that makes a prepositional noun phrase poetical is that the latter suggests a semantic relationship between concepts that does not exist in the real world. The current paper discusses how a
set of rules based on Wordnet classes and an ontology repre- senting human behavior and
properties, can be used to identify figures of speech. It also addresses the problem of inconsistency
resulting from the assertion of figures of speech at various levels identifying the problems involved
in their representation. Finally, it discusses how a contextualized approach might help to resolve
this problem.