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Mobile Information Systems Leveraging Volunteered Geographic Information for Earth Observation pp 193–214Cite as

VGI Imperfection in Citizen Science Projects and Its Representation and Retrieval Based on Fuzzy Ontologies and Level-Based Approximate Reasoning

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Part of the book series: Earth Systems Data and Models ((ESDM,volume 4))

Abstract

The chapter investigates the kinds of imperfection affecting Volunteer Geographic Information (VGI) created by users eager to participate in some citizen science project. An approach based on the use of fuzzy domain ontologies and level-based approximate reasoning is suggested to represent and manage both the uncertainty of volunteers when describing their observations and the vagueness of ill-defined domain knowledge. This way one can model more reliable smart applications for creating VGI as well as can design less ambiguous spatial data infrastructures (SDIs) for sharing VGI with final stakeholders.

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Notes

  1. 1.

    http://ebird.org/.

  2. 2.

    http://birds.cornell.edu/hofi/.

  3. 3.

    http://www.greatsunflower.org/.

  4. 4.

    http://www.whmn.org/where/.

  5. 5.

    http://www.inaturalist.org/.

  6. 6.

    http://space4agri.irea.cnr.it/.

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Acknowledgements

The present work was partially supported by the FHfFC project jointly funded by CNR and Regione Lombardia (Accordo Quadro di collaborazione tra Regione Lombardia e il Consiglio Nazionale delle Ricerche (CNR) D.G.R. n. 3866, 17/07/2015).

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Authors and Affiliations

  1. IREA CNR, Via Bassini 15, Milan, Italy

    Gloria Bordogna, Cristiano Fugazza & Alessandro Oggioni

Authors
  1. Gloria Bordogna
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  2. Cristiano Fugazza
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  3. Alessandro Oggioni
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Corresponding author

Correspondence to Gloria Bordogna .

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Editors and Affiliations

  1. IREA CNR , Milano, Italy

    Gloria Bordogna

  2. IREA CNR , Milano, Italy

    Paola Carrara

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Bordogna, G., Fugazza, C., Oggioni, A. (2018). VGI Imperfection in Citizen Science Projects and Its Representation and Retrieval Based on Fuzzy Ontologies and Level-Based Approximate Reasoning. In: Bordogna, G., Carrara, P. (eds) Mobile Information Systems Leveraging Volunteered Geographic Information for Earth Observation. Earth Systems Data and Models, vol 4. Springer, Cham. https://doi.org/10.1007/978-3-319-70878-2_10

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