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