DocumentCode
3302358
Title
Research of Spatial Data Discovery Technology on Digital Forestry platform
Author
Yan, Pinghui ; Zhang, Xu ; Li, Fan
Author_Institution
Inst. of Forest Resource Inf. Tech., Chinese Acad. of Forestry, Beijing
fYear
2007
fDate
16-18 Aug. 2007
Firstpage
636
Lastpage
641
Abstract
Digital forestry platform was introduced and special requirements of spatial data discovery were analyzed in this platform. The hierarchical and distributed architecture of spatial data discovery was put forward. Global metadata model, OLAP-oriented metadata aggregation and spatial relation knowledge repository were deeply researched. Global metadata model not only mainly provides spatial data entity description and Web service information but also builds relationship between them; OLAP-oriented metadata aggregation generates date cube through extracting and aggregating; spatial relation knowledge repository supplies necessary knowledge of spatial information process and analysis. Based on aforementioned technologies and researches, spatial data discovery module has realized multi-perspective view data and service display, data and service automatic match and on-demand data service. Thus, it meets special application system requirements on digital forestry platform.
Keywords
data mining; forestry; information services; information systems; meta data; OLAP-oriented metadata aggregation; Web service; date cube; digital forestry platform; distributed architecture; global metadata model; multiperspective view data; on-demand data service; service automatic match; service display; spatial data discovery; spatial data entity description; spatial information; spatial relation knowledge repository; system requirements; Content management; Data acquisition; Data analysis; Data engineering; Data mining; Displays; Forestry; Information analysis; Resource management; Web services;
fLanguage
English
Publisher
ieee
Conference_Titel
Grid and Cooperative Computing, 2007. GCC 2007. Sixth International Conference on
Conference_Location
Los Alamitos, CA
Print_ISBN
0-7695-2871-6
Type
conf
DOI
10.1109/GCC.2007.106
Filename
4293840
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