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Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.3/5895
- Title
- Single measure similarity for spatial data management system
- Author(s)
- Lau, B. T.; Wang, Yin Chai
- Abstract
- Multimeasure structural similarity for object retrieval is an active research area in spatial databases management software. The similarity is particularly important for development of spatial database system like Geographic Information Systems (GIS) and navigation system. This paper presents research findings from the developed SMSS, single measure structural similarity model for spatial databases management systems. The model is proven to be more effective than existing multimeasure models in several areas that are reduced similarity measures, reduced object associations, and eliminated object approximation.
- Publication type
- Conference paper
- Research centre
- Swinburne University of Technology. Sarawak Campus. School of Information Technology and Multimedia
- Source
- Proceedings 8th International Conference on Advanced Communication Technology (ICACT 2006), Phoenix Park, Korea, 20-22 February 2006, Vol. 1, p. 738-743
- Publication year
- 2006
- Keyword(s)
- Visual databases; Eliminated object approximation; Object retrieval; Reduced object associations; Reduced similarity measures; Single measure structural similarity; Spatial data management system; Spatial databases management software
- Publisher
- IEEE
- Format
- 738-743
- ISSN
- 1738-9445
- Publisher URL
- http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=34120&arnumber=1625676&count=210&index=172
- Copyright
- Copyright © 2006 IEEE.
- Peer reviewed
