Propagating temporal relations of intervals by matrix

Zhang, S; Zhang, C

Propagating temporal relations of intervals by matrix

Zhang, S Zhang, C

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Publication Type:: Journal Article
Citation:: Applied Artificial Intelligence, 2002, 16 (1), pp. 1 - 27
Issue Date:: 2002-01-01

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Field	Value	Language
dc.contributor.author	Zhang, S	en_US
dc.contributor.author	Zhang, C https://orcid.org/0000-0001-5715-7154	en_US
dc.date.issued	2002-01-01	en_US
dc.identifier.citation	Applied Artificial Intelligence, 2002, 16 (1), pp. 1 - 27	en_US
dc.identifier.issn	0883-9514	en_US
dc.identifier.uri	http://hdl.handle.net/10453/9018
dc.description.abstract	Traditional temporal relations propagating is based on Allen's Interval Algebra. This paper proposes an alternative method to propagate temporal relations among intervals, in which 5 × 5 matrices are used to represent temporal relations of intervals. Hence, the propagation of temporal relations is transformed into a numerical computation. For efficiency, we use the special values of the thirteen matrices to determine the possible temporal relations between two given intervals by using only the final resultant matrix so as to optimize the propagation. To evaluate the utility of the proposed technique, we have implemented the matrix representation in Java. The experimental results demonstrate that the approach is efficient and promising.	en_US
dc.relation.ispartof	Applied Artificial Intelligence	en_US
dc.relation.isbasedon	10.1080/088395102753365771	en_US
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	Propagating temporal relations of intervals by matrix	en_US
dc.type	Journal Article
utslib.citation.volume	1	en_US
utslib.citation.volume	16	en_US
utslib.for	080604 Database Management	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
utslib.for	1702 Cognitive Sciences	en_US
dc.location.activity	ISI:000173047100001	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/DVC (International)
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - ACRI - Australia China Relations Institute
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	closed_access
pubs.issue	1	en_US
pubs.publication-status	Published	en_US
pubs.volume	16	en_US

Abstract:

Traditional temporal relations propagating is based on Allen's Interval Algebra. This paper proposes an alternative method to propagate temporal relations among intervals, in which 5 × 5 matrices are used to represent temporal relations of intervals. Hence, the propagation of temporal relations is transformed into a numerical computation. For efficiency, we use the special values of the thirteen matrices to determine the possible temporal relations between two given intervals by using only the final resultant matrix so as to optimize the propagation. To evaluate the utility of the proposed technique, we have implemented the matrix representation in Java. The experimental results demonstrate that the approach is efficient and promising.

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http://hdl.handle.net/10453/9018