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Keyword Search in Web-based Geographic Information Retrieval System
http://hdl.handle.net/20.500.12678/0000004862
http://hdl.handle.net/20.500.12678/0000004862edd3b9cd-313d-4f5c-86bd-a91046764fae
6e54a4a5-60fa-42f8-b094-9815730e2196
Publication type | ||||||
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Article | ||||||
Upload type | ||||||
Publication | ||||||
Title | ||||||
Title | Keyword Search in Web-based Geographic Information Retrieval System | |||||
Language | en | |||||
Publication date | 2017-02-16 | |||||
Authors | ||||||
Myint, Aung Zaw | ||||||
Tun, Khin Mo Mo | ||||||
Description | ||||||
Web-based geographic information searchengines are prominently used in recent years. Spatialdatabases have both spatial and textual descriptions.Geographic web search engine retrieves the nearestobjects that are the most textually and spatiallyrelevant according to the user required keywords.Many number of spatial keyword query methods havebeen proposed and a variety of applications has beendeveloped in GIS decision support system. This paperproposes category based new combined indexstructure which integrates R* tree and inverted file.The proposed system can efficiently be used bothmultidimensional points and spatial data. Theproposed system is capable for good performanceand reduces the storage cost. | ||||||
Keywords | ||||||
Spatial keyword query, Location-based web search, R* tree, spatial database | ||||||
Identifier | http://onlineresource.ucsy.edu.mm/handle/123456789/759 | |||||
Journal articles | ||||||
Fifteenth International Conference on Computer Applications(ICCA 2017) | ||||||
Conference papers | ||||||
Books/reports/chapters | ||||||
Thesis/dissertations |