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Book Chapter
Artificial Ontologies and Real Thoughts: Populating the Semantic Web?
Book Series
Lecture Notes in Computer Science
Publisher
Springer Berlin / Heidelberg
ISSN
0302-9743 (Print) 1611-3349 (Online)
Volume
Volume 4733/2007
Book
AI*IA 2007: Artificial Intelligence and Human-Oriented Computing
DOI
10.1007/978-3-540-74782-6
Copyright
2007
ISBN
978-3-540-74781-9
DOI
10.1007/978-3-540-74782-6_3
Pages
3-23
Subject Collection
Computer Science
SpringerLink Date
Sunday, August 26, 2007
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Artificial Ontologies and Real Thoughts: Populating the Semantic Web?
Khurshid Ahmad
1
(1)
Trinity College, Dublin, Ireland
Abstract
Corpus linguistic methods are discussed in the context of the automatic extraction of a candidate terminology of a specialist domain of knowledge. Collocation analysis of the candidate terms leads to some insight into the ontological commitment of the domain community or collective. The candidate terminology and ontology can be easily verified and validated and subsequently may be used in the construction of information extraction systems and of knowledge-based systems. The use of the methods is illustrated by an investigation of the ontological commitment of four major collectives: nuclear physics, cell biology, linguistics and anthropology. An analysis of a diachronic corpus allows an insight into changes in basic concepts within a specialism; an analysis of a corpus comprising texts published during a short and fixed time period –a synchronic corpus- shows how different sub-specialisms within a collective commit themselves to an ontology.
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