NDLI: Hierarchical Metadata Driven View Dependency in Spatial Data Warehouses

Content Provider	IEEE Xplore Digital Library
Author	Yu, S.
Copyright Year	2005
Description	Author affiliation: MSIS Dept., Rutgers Univ., NJ (Yu, S.)
Abstract	Recently, tremendous growth in the collection and use of spatial information can be seen. To efficiently and effectively analyze the spatial data and their interactive relationships, there is a need for a spatial data warehouse (SDW) that should be carefully constructed to support the spatial data analysis for decision support purposes. In an SDW, spatial objects represented as central measures are described by spatial metadata represented as dimensions, and some of dimensions have concept hierarchies manually or automatically built. The spatial metadata with built-in concept hierarchies present the spatial data at different abstract levels, which defines a sequence of mappings from lower-level views to higher-level or more general views. In this paper, we investigate the issue of using commonly used spatial metadata to construct a spatial view dependency framework in a 3D platform, which is used to express and quantify dependencies among spatial views. We also show the extendibility of the 3D framework if more spatial metadata considered or more complex concept hierarchies involved. We indicate that a spatial view dependency is mainly used for selective materialization of views to reduce query response time, which is a major query optimization technique for an SDW
Starting Page	448
Ending Page	452
File Size	94296
Page Count	5
File Format	PDF
ISBN	0769524249
ISSN	15294188
DOI	10.1109/DEXA.2005.105
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-08-22
Publisher Place	Denmark
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Data warehouses Spatial databases Lattices Data analysis Image databases Relational databases Delay Query processing Satellites Telemetry
Content Type	Text
Resource Type	Article

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