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Content Provider | IEEE Xplore Digital Library |
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Author | Dos Santos, R.F. Boedihardjo, A.P. Chang-Tien Lu |
Copyright Year | 2011 |
Description | Author affiliation: Spatial Data Management Lab, Virginia Tech, Falls Church, USA (Dos Santos, R.F.; Chang-Tien Lu) || US Army Corps of Engineers, Topographic Engineering Center, Alexandria, VA - USA (Boedihardjo, A.P.) |
Abstract | Geographic feature expansion is a common task in Geographic Information Systems (GIS). Identifying and integrating geographic features is a challenging task since many of their spatial and non-spatial properties are described in different sources. We tackle this expansion problem by defining semantic footprints as a measure of similarity among features. Furthermore, we propose three quantifiers of semantic similarity: spatial, dimensional, and ontological affinity. We show how these measures dilute, concentrate, harden, or concede the feature space, and provide useful insights into the semantic relationships of the spatial entities. Experiments demonstrate the effectiveness of our approach in semantically associating the most appropriate spatial features. |
Starting Page | 3421 |
Ending Page | 3426 |
File Size | 847186 |
Page Count | 6 |
File Format | |
ISBN | 9781457706523 |
ISSN | 1062922X |
e-ISBN | 9781457706530 |
DOI | 10.1109/ICSMC.2011.6084198 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2011-10-09 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Semantics Numerical analysis XML Spatial databases Ontologies Buildings Geographic Information Systems semantic reasoning spatial geographic information system spatial database system integration |
Content Type | Text |
Resource Type | Article |
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