NDLI: Determining topological relationship of fuzzy spatiotemporal data integrated with XML twig pattern

Content Provider	Springer Nature Link
Author	Bai, Luyi Yan, Li Ma, Z. M.
Copyright Year	2012
Abstract	How to determine topological relationships is one of the most important operations on fuzzy spatiotemporal data. The proposed strategies impose strict restrictions on structure and data types of fuzzy spatiotemporal data, and fall short in their abilities to handle fuzzy attributes extension and fuzzy time extension. To overcome these limitations, in this paper, we first establish a fuzzy spatiotemporal data model based on XML. Then, we propose strategies of transforming two general fuzzy spatiotemporal data trees into one binary fuzzy spatiotemporal data tree. In succession, an effective algorithm to match the desired twigs is proposed after extending the region coding scheme to compatible with fuzzy spatiotemporal data. Our approach adopts XML twig pattern technique to determine topological relationship continuously so that it can reduce unnecessary execution time of querying the desired nodes. More importantly, we use a pointer array to eliminate unnecessary execution time of twig matching. Finally, the experimental results demonstrate the performance advantages of our approach.
Starting Page	75
Ending Page	100
Page Count	26
File Format	PDF
ISSN	0924669X
Journal	Applied Intelligence
Volume Number	39
Issue Number	1
e-ISSN	15737497
Language	English
Publisher	Springer US
Publisher Date	2012-11-30
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Fuzzy spatiotemporal data Topological relationship Transformation Region encoding scheme XML twig pattern Artificial Intelligence (incl. Robotics) Mechanical Engineering Manufacturing, Machines, Tools
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence

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