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Object oriented regular expressions

Larkin, Henry 2008, Object oriented regular expressions, in CIT 2008 : Proceedings of the 8th IEEE International Conference on Computer and Information Technology, [The Conference], Sydney, NSW, pp. 491-496, doi: 10.1109/CIT.2008.4594724.

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Title Object oriented regular expressions
Author(s) Larkin, HenryORCID iD for Larkin, Henry orcid.org/0000-0001-5867-1542
Conference name IEEE International Conference on Computer and Information Technology (28th : 2008 : Sydney, New South Wales)
Conference location Sydney, New South Wales
Conference dates 8-11 Jul. 2008
Title of proceedings CIT 2008 : Proceedings of the 8th IEEE International Conference on Computer and Information Technology
Editor(s) [Unknown]
Publication date 2008
Conference series IEEE International Conference on Computer and Information Technology
Start page 491
End page 496
Total pages 6
Publisher [The Conference]
Place of publication Sydney, NSW
Keyword(s) object-oriented methods
pattern matching
programming languages
binary data
data formats
multilayered objects
object oriented regular expressions
pattern matching
programming languages
textual data
object-oriented programming
regular expressions
Australia
computer languages
data mining
data structures
HTML
information technology
object oriented programming
pattern matching protocols
XML
Summary Regular expressions are used to parse textual data to match patterns and extract variables. They have been implemented in a vast number of programming languages with a significant quantity of research devoted to improving their operational efficiency. However, regular expressions are limited to finding linear matches. Little research has been done in the field of object-oriented results which would allow textual or binary data to be converted to multi-layered objects. This is significantly relevant as many of todaypsilas data formats are object-based. This paper extends our previous work by detailing an algorithmic approach to perform object-oriented parsing, and provides an initial study of benchmarks of the algorithms of our contribution
ISBN 9781424423583
Language eng
DOI 10.1109/CIT.2008.4594724
Field of Research 089999 Information and Computing Sciences not elsewhere classified
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1.1 Full written paper - refereed
Copyright notice ©2008, IEEE
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30063702

Document type: Conference Paper
Collections: School of Information Technology
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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.