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Representing and recognizing scenario patterns

Representing and recognizing scenario patterns

Ma, Jixin and Luo, Bin (2005) Representing and recognizing scenario patterns. In: Fuzzy Systems and Knowledge Discovery: Second International Conference, FSKD 2005, Changsha, China, August 27-29, 2005, Proceedings, Part II. Lecture Notes in Computer Science (3614). Springer Berlin Heidelberg, Berlin, Heidelberg, Germany, pp. 140-149. ISBN 9783540283317 ISSN 0302-9743 (doi:10.1007/11540007_18)

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Abstract

This paper presents a formal method for representing and recognizing scenario patterns with rich internal temporal aspects. A scenario is presented as a collection of time-independent fluents, together with the corresponding temporal knowledge that can be relative and/or with absolute values. A graphical representation for temporal scenarios is introduced which supports consistence checking as for the temporal constraints. In terms of such a graphical representation, graph-matching algorithms/methodologies can be directly adopted for recognizing scenario patterns.

Item Type: Conference Proceedings
Title of Proceedings: Fuzzy Systems and Knowledge Discovery: Second International Conference, FSKD 2005, Changsha, China, August 27-29, 2005, Proceedings, Part II
Additional Information: [1] This paper was first presented at the Second International Conference on Fuzzy Systems and Knowledge Discovery, (FSKD 2005) held from 27-29 August 2005 in Changsha, China. [2] ISBN: 978-3-540-28331-7 (print); 978-3-540-31828-6 (online).
Uncontrolled Keywords: artificial intelligence, robotics, mathematical logic and formal languages, computation by abstract devices, algorithm analysis and problem complexity, image processing and computer vision, database management
Subjects: Q Science > QA Mathematics > QA76 Computer software
Pre-2014 Departments: School of Computing & Mathematical Sciences
School of Computing & Mathematical Sciences > Computer & Computational Science Research Group
School of Computing & Mathematical Sciences > Department of Computer Science
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Last Modified: 14 Oct 2016 09:02
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/932

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