DocumentCode :
2663346
Title :
User-specific semantics for modeling content-based geospatial knowledge
Author :
Barb, Adrian S. ; Shyu, Chi-Ren
Author_Institution :
Univ. of Missouri, Columbia
fYear :
2007
fDate :
23-28 July 2007
Firstpage :
330
Lastpage :
333
Abstract :
Modern technology enables organizations to build huge geospatial data repositories. But collecting and storing information is not sufficient if it is not backed-up by accurate and flexible methods of extracting knowledge encapsulated in data. Image analysts use individualized models to represent visual patterns found in images. These models may not coincide with the models created by computer algorithms. To be successful, computer systems need to adapt to the subjective views of image analysts. In this article we introduce a novel method for fast query customization that provides users with individualized computer models to assign semantics to visual patterns in images. These models are evolved according to user input by adjusting possibility functions that mathematically map the assignment of semantics into low-level features. Our approach provides a flexible method for querying image databases using semantics, and potentially provides a knowledge exchange method for the geospatial community.
Keywords :
content-based retrieval; geographic information systems; knowledge acquisition; semantic networks; visual databases; content-based geospatial knowledge modeling; geospatial data repositories; image analysis; knowledge exchange; knowledge extraction; query customization; user-specific semantics; visual patterns; Algorithm design and analysis; Computer science; Data mining; Geographic Information Systems; Image analysis; Information analysis; Inspection; Knowledge representation; Ontologies; Pattern analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International
Conference_Location :
Barcelona
Print_ISBN :
978-1-4244-1211-2
Electronic_ISBN :
978-1-4244-1212-9
Type :
conf
DOI :
10.1109/IGARSS.2007.4422797
Filename :
4422797
Link To Document :
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