article · Journal of IT in Asia · 2016
CONTENT-BASED SPATIAL QUERY RETRIEVAL
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Abstract
Information acquisition with the availability of modern information technology has become easier. We rely on various information systems in our daily lives. Geographical information system and spatial query retrieval become more and more important in vehicle navigation, robot automation, and satellite signal processing. Spatial query is made easy with the handheld technology like PDA and sketching device. However powerful query methodology needs powerful retrieval techniques to produce the desired output. Content based spatial query retrieval is one of the best resorts for spatial query retrieval. Structural spatial query retrieval is in content based retrieval family that is also an active research area in spatial databases. Structural spatial query retrieval assesses similarity by its structural arrangement, known as configuration similarity. This research developed an enhanced structural spatial query retrieval model for spatial databases.
Cite this paper
Theng, L. B., & Wang, Y. (2016). CONTENT-BASED SPATIAL QUERY RETRIEVAL. Journal of IT in Asia, 2(1), 53–82. https://doi.org/10.33736/jita.55.2007
Theng, Lau Bee, and Yanbing Wang. “CONTENT-BASED SPATIAL QUERY RETRIEVAL.” Journal of IT in Asia, vol. 2, no. 1, 2016, pp. 53–82, https://doi.org/10.33736/jita.55.2007.
Theng, Lau Bee, and Yanbing Wang. 2016. “CONTENT-BASED SPATIAL QUERY RETRIEVAL.” Journal of IT in Asia 2 (1): 53–82. https://doi.org/10.33736/jita.55.2007.
Theng, L.B. and Wang, Y. (2016) ‘CONTENT-BASED SPATIAL QUERY RETRIEVAL’, Journal of IT in Asia, 2(1), pp. 53–82. Available at: https://doi.org/10.33736/jita.55.2007.
@article{theng2016content,
title = {{CONTENT-BASED SPATIAL QUERY RETRIEVAL}},
author = {Theng, Lau Bee and Wang, Yanbing},
journal = {Journal of IT in Asia},
volume = {2},
number = {1},
pages = {53--82},
year = {2016},
doi = {10.33736/jita.55.2007}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.