ENGINEERING ONTOLOGY: DOMAIN ACQUISITION METHODOLOGY AND PRACTICE

With the rapid increase of digitized language
content, systems for automatic processing of natural
languages and resources for such systems (such as
WordNet and FrameNet) are becoming indispensable to
business and science.
This work is a case study in creating an ontology for
the domain of Digital Identity Management, based on
ontological semantics framework and supported by
corpus evidence. The work aims to document the range
of semantic and syntactic uses of domain-specific
vocabulary, and to develop scripts for sentence
processing based on event structure theory.
The methodology describes ontology engineering that
ensures external validity and internal consistency of
the ontology and the lexicon, and aids in rapid
coverage of the lexicon of a particular domain, while
event structure-based scripts within the ontological
framework allow for processing implicature and
entailment, as well as literal language.
This analysis is useful both for computer scientists
working on natural language processing, and for
linguists interested in practical applications of
linguistic concepts and evaluation of theoretical
advances through a computational approach to natural
language processing.

Autorentext
Evguenia A. Malaia, Ph.D. Studied computational linguistics at Purdue University, Linguistics Program/CERIAS (Center for Education and Research in Information Assurance and Security). Research Associate at Purdue University.

Klappentext
With the rapid increase of digitized language content, systems for automatic processing of natural languages and resources for such systems (such as WordNet and FrameNet) are becoming indispensable to business and science. This work is a case study in creating an ontology for the domain of Digital Identity Management, based on ontological semantics framework and supported by corpus evidence. The work aims to document the range of semantic and syntactic uses of domain-specific vocabulary, and to develop scripts for sentence processing based on event structure theory. The methodology describes ontology engineering that ensures external validity and internal consistency of the ontology and the lexicon, and aids in rapid coverage of the lexicon of a particular domain, while event structure-based scripts within the ontological framework allow for processing implicature and entailment, as well as literal language. This analysis is useful both for computer scientists working on natural language processing, and for linguists interested in practical applications of linguistic concepts and evaluation of theoretical advances through a computational approach to natural language processing.