DocumentCode :
2090403
Title :
Research on Holistic Index Method of Geography Markup Language
Author :
Zhang, Haitao ; Zhang, Shuliang ; Lv, Guonian
Author_Institution :
Dept. of Commun. & Inf. Eng., Nanjing Univ. of Posts & Telecommun., Nanjing, China
Volume :
1
fYear :
2008
fDate :
20-22 Dec. 2008
Firstpage :
7
Lastpage :
12
Abstract :
Currently OGC GML (Geography Markup Language) specification has been the in fact standard of GIS data sharing and exchanging, and spatial interoperation. Adopting nested association expression approach of XML data, GML data documents store both spatial information and semantic relationship information of geographical elements. In order to improve the efficient of path query on GML two type information, the paper presented a holistic index method of GML data: EKR+ (optimized R+ Tree base on Extend Region Code and K-Means extent partition of GML feature elements). Experiments results show that utilizing EKR+ can greatly improve the efficiency of semantic-spatial query.
Keywords :
XML; database indexing; encoding; geographic information systems; query processing; tree data structures; visual databases; EKR+ holistic index method; GIS data exchange; GIS data sharing; GML data document; Geography Markup Language; K-means extent feature element partitioning; OGC GML specification; XML data encoding; extended region code; nested association expression approach; optimized R+ tree; semantic-spatial path query; spatial interoperation; Communication standards; Computer science; Data engineering; Encoding; Geographic Information Systems; Geography; Markup languages; Telecommunication computing; Telecommunication standards; XML; EKR; Extended Region Code; GML;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Computational Technology, 2008. ISCSCT '08. International Symposium on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-3746-7
Type :
conf
DOI :
10.1109/ISCSCT.2008.98
Filename :
4731362
Link To Document :
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