User-specific semantics for modeling content-based geospatial knowledge

Adrian Sorin Barb, Chi Ren Shyu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

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.

Original languageEnglish (US)
Title of host publication2007 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2007
Pages330-333
Number of pages4
DOIs
StatePublished - Dec 1 2007
Event2007 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2007 - Barcelona, Spain
Duration: Jun 23 2007Jun 28 2007

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)

Other

Other2007 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2007
CountrySpain
CityBarcelona
Period6/23/076/28/07

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Earth and Planetary Sciences(all)

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    Barb, A. S., & Shyu, C. R. (2007). User-specific semantics for modeling content-based geospatial knowledge. In 2007 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2007 (pp. 330-333). [4422797] (International Geoscience and Remote Sensing Symposium (IGARSS)). https://doi.org/10.1109/IGARSS.2007.4422797