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World Summit on Knowledge Society

WSKS 2010: Knowledge Management, Information Systems, E-Learning, and Sustainability Research pp 8–12Cite as

Ontology-Based Modelling of Ocean Satellite Images

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 111))

Abstract

In this paper we will define an ontology about the semantic content of ocean satellite images in which we are able to represent types of ocean structures, spatial and morphological concepts, and knowledge about measures of temperature, chrolophyll concentration, among others. Such ontology will provide the basis of a classification system based on the low-level features of images. We have tested our approach using the Protegé semantic web tool.

This work has been partially supported by the Spanish MICINN under grant TIN2008-06622-C03-03.

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Author information

Authors and Affiliations

  1. Dpto. de Lenguajes y Computación, Universidad de Almería Spain, Spain

    Jesús M. Almendros-Jiménez, José A. Piedra & Manuel Cantón

Authors
  1. Jesús M. Almendros-Jiménez
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  2. José A. Piedra
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  3. Manuel Cantón
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Editor information

Editors and Affiliations

  1. The American College of Greece, Aghia Paraskevi, Athens, Greece

    Miltiadis D. Lytras

  2. University of Oviedo, Spain

    Patricia Ordonez De Pablos

  3. Bar-Ilan University, Ramat Gan, Israel

    Adrian Ziderman

  4. De Montfort University, Leicester, UK

    Alan Roulstone

  5. Institute for Information Systems and Computer Media, Graz University of Technology, Inffeldgasse 16, 8010, Graz, Austria

    Hermann Maurer

  6. Wellesley College, Wellesley, MA, USA

    Jonathan B. Imber

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Almendros-Jiménez, J.M., Piedra, J.A., Cantón, M. (2010). Ontology-Based Modelling of Ocean Satellite Images. In: Lytras, M.D., Ordonez De Pablos, P., Ziderman, A., Roulstone, A., Maurer, H., Imber, J.B. (eds) Knowledge Management, Information Systems, E-Learning, and Sustainability Research. WSKS 2010. Communications in Computer and Information Science, vol 111. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16318-0_2

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  • DOI: https://doi.org/10.1007/978-3-642-16318-0_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-16317-3

  • Online ISBN: 978-3-642-16318-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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