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Generating an ontology from scientific works : initial results

Lamp, John William and Milton, Simon Kenneth 2008, Generating an ontology from scientific works : initial results, in ACIS2008 : Creating the future : transforming research into practice : Proceedings of the 19th Australasian Conference on Information Systems, ACIS, [Christchurch, New Zealand], pp. 523-531.

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Title Generating an ontology from scientific works : initial results
Author(s) Lamp, John William
Milton, Simon Kenneth
Conference name Australasian Conference on Information Systems (19th : 2008 : Christchurch, New Zealand)
Conference location Christchurch, New Zealand
Conference dates 3-5 December 2008
Title of proceedings ACIS2008 : Creating the future : transforming research into practice : Proceedings of the 19th Australasian Conference on Information Systems
Editor(s) Mills, Annette
Huff, Sid
Publication date 2008
Conference series Australasian Conference on Information Systems
Start page 523
End page 531
Publisher ACIS
Place of publication [Christchurch, New Zealand]
Keyword(s) ACMCCS
H.3.1 [Information Storage and Retrieval]
content analysis and indexing – thesauruses general terms
standardization
theory
Summary Attempts to produce adequate and long-lived subject indexes of information systems and computer science research have failed. In this paper we report preliminary results of an approach by which the terms expressed in research literature, such as that in information systems, can be systematically and meaningfully categorised. The approach is based on Roman Ingarden’s ontological theory of the written scholarly work: its nature, existence, and categorisation, and builds on Grounded Theory: a rigorous grounded qualitative research method addressing how meaningful categories can be analysed from text and related to each other. We have found that the key guiding unit of analysis operationalising Ingarden’s approach through Grounded Theory is the “reported research activity” and that the process is possible although labour intensive. On the basis of using the approach, we propose simple steps to improve the quality of keywords in reported research.
Notes Reproduced with the kind permission of the copyright owner.
ISBN 9780473145286
Language eng
Field of Research 080603 Conceptual Modelling
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2008, The Authors
Persistent URL http://hdl.handle.net/10536/DRO/DU:30018094

Document type: Conference Paper
Collections: School of Information Systems
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