DocumentCode
3508044
Title
Spatial Data Mining on Hierarchical Semantic Relation among Multi-scale Geographical Representations
Author
Wang, Yan-hui ; Meng, Hao
Author_Institution
Key Lab. of Educ. Minist., Capital Normal Univ., Beijing
Volume
3
fYear
2009
fDate
7-8 March 2009
Firstpage
640
Lastpage
644
Abstract
Multi-scale representations for geographical entities is one of research focuses in the field of multi-scale spatial database, Compared with the traditional GIS model, the essential modeling mechanism and strategies for building multi-scale data model are explored. Taken the road feature as an example, a detailed description of multi-representation model elements in the multi-scale model are provided, which includes abstract data types and attribute-value domains for geographical features at different scales, as well as the scale, semantic, and mapping hierarchical relations among multi-representations. Based on which, an appropriate multi-scale conceptual model is given in detail with multi-scale extended E-R method. At last, a case in point is given to implement the entities and relations abstracted from the multi-scale modeling technique strategies, which is helpful to build a convenient and visual multi-sale spatial information services platform for route design, route guide and route display.
Keywords
data mining; data structures; geographic information systems; abstract data types; geographic information systems; hierarchical relations mapping; hierarchical semantic relation; multirepresentation model elements; multiscale geographical representations; multiscale spatial database; route design; route display; route guide; spatial data mining; Application software; Computer science; Computer science education; Data mining; Data models; Displays; Educational technology; Geographic Information Systems; Roads; Spatial databases; Hierarchical Semantic Relation; Representations; Spatial Data Mining;
fLanguage
English
Publisher
ieee
Conference_Titel
Education Technology and Computer Science, 2009. ETCS '09. First International Workshop on
Conference_Location
Wuhan, Hubei
Print_ISBN
978-1-4244-3581-4
Type
conf
DOI
10.1109/ETCS.2009.677
Filename
4959395
Link To Document