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Volunteered Geographic Information Management Supported by Fuzzy Ontologies and Level-Based Approximate Reasoning

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Advances in Artificial Intelligence: From Theory to Practice (IEA/AIE 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10350))

Abstract

The paper proposes level-based approximate reasoning on a fuzzy ontology as a modeling framework to support the creation and retrieval of Volunteered Geographic Information (VGI) affected by observation deficiencies causing both uncertainty and fuzziness. The paper recalls the inadequacy of classic ontologies to create VGI, the limitation of the use of fuzzy ontologies to model both fuzziness and uncertainty, and proposes level based reasoning to answer user queries on a VGI collection supported by a fuzzy ontology.

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References

  1. Bobillo, F., Straccia, U.: The fuzzy ontology reasoner fuzzyDL. Knowl. Based Syst. 95, 12–34 (2016)

    Article  Google Scholar 

  2. Bordogna, G., Carrara, P., Criscuolo, L., Pepe, M., Rampini, A.: On predicting and improving the quality of volunteer geographic information projects. Int. J. Digital Earth 9, 1–22 (2014). on-line edition

    Google Scholar 

  3. Bordogna, G., Pasi, G.: Modeling linguistic qualifiers of uncertainty in a Fuzzy database. Int. J. Intell. Syst. 15, 995–1014 (2000)

    Article  MATH  Google Scholar 

  4. Bordogna, G., Pasi, G.: Modeling preferences in fuzzy queries by tuning the evaluation function of selection conditions. In: Proceedings of IFSA 2003, pp. 296–299, 29 June–2 July 2003, Istanbul (2003)

    Google Scholar 

  5. Cho, W.C., Richards, D.: Ontology construction and concept reuse with formal concept analysis for improved web document retrieval. Web Intell. Agent Syst. Int. J. 5, 109–126 (2007)

    Google Scholar 

  6. Crall, A.W., Newman, G.J., Stohlgren, T.J., Holfelder, K.A., Graham, J., Waller, D.M.: Assessing citizen science data quality: an invasive species case study. Conserv. Lett. 4(6), 433–442 (2011). Blackwell Publishing Inc., 1755-263X

    Article  Google Scholar 

  7. Dubois, A., Raymond, O., Remay, A., Bendahmane, L.M.: Genomic approach to study floral development genes in Rosa sp. PLoS One 6(12), e28455 (2011). doi:10.1371/journal.pone.0028455

    Article  Google Scholar 

  8. Gonzalez, A., Marın, N., Pons, O., Vila, M.A.: Fuzzy certainty on fuzzy values. Control Cybern. 38(2), 311–339 (2009)

    MathSciNet  MATH  Google Scholar 

  9. Goodchild, M.F.: Citizens as voluntary sensors: spatial data infrastructure in the world of web 2.0. Int. J. Spatial Data Infrastruct. Res. 2, 24–32 (2007)

    Google Scholar 

  10. Haklay, M.: Citizen science and volunteered geographic information – overview and typology of participation. In: Sui, D.Z., Elwood, S., Goodchild, M.F. (eds.) Volunteered Geographic Information, Public Participation, and Crowdsourced Production of Geographic Knowledge. Springer, Berlin (2012)

    Google Scholar 

  11. Hitzler, P., Krötzsch, M., Parsia, B., Patel-Schneider, P.F., Rudolph, S.: OWL 2 web ontology language primer. W3C recommendation (2009a). http://www.w3.org/TR/owl2-primer/. Cited on page(s) 11

  12. Hitzler, P., Krötzsch, M., Rudolph, S.: Foundations of Semantic Web Technologies. Chapman & Hall/CRC, New York (2009b). Cited on page(s) 11, 18

    Google Scholar 

  13. Schade, S., Tsinaraki, C.: Survey report: data management in Citizen Science projects. JRC Technical report for European Commission (2016)

    Google Scholar 

  14. Straccia, U.: Towards a fuzzy description logic for the semantic web. In: Gomez-Perez, A., Euzenat, J. (eds.) ESWC 2005. LNCS, vol. 3532, pp. 167–181. Springer, Berlin (2005)

    Google Scholar 

  15. Straccia, U.: All about fuzzy description logics and applications. In: Faber, W., Paschke, A. (eds.) Reasoning Web 2015. LNCS, pp. 1–31. Springer, Heidelberg (2015). doi:10.1007/978-3-319-21768-0

    Google Scholar 

  16. Zadeh, L.A.: Fuzzy sets. Inf. Control 8(3), 338–353 (1965)

    Article  MATH  Google Scholar 

  17. http://www.inaturalist.org/. Accessed 8 Aug 2016

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Aknowledgements

The work presented in the paper has been partially supported by the projects FHfFC, jointly funded by CNR and Regione Lombardia, and STRESS funded by Cariplo.

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Authors and Affiliations

  1. IREA-CNR, via Bassini 15, 20133, Milan, Italy

    Gloria Bordogna

  2. IDPA-CNR, piazza della Scienza 1, 20133, Milan, Italy

    Simone Sterlacchini

Authors
  1. Gloria Bordogna
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  2. Simone Sterlacchini
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Corresponding author

Correspondence to Gloria Bordogna .

Editor information

Editors and Affiliations

  1. Artois University, Lens, France

    Salem Benferhat

  2. Artois University, Lens, France

    Karim Tabia

  3. Texas State University, San Marcos, Texas, USA

    Moonis Ali

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Bordogna, G., Sterlacchini, S. (2017). Volunteered Geographic Information Management Supported by Fuzzy Ontologies and Level-Based Approximate Reasoning. In: Benferhat, S., Tabia, K., Ali, M. (eds) Advances in Artificial Intelligence: From Theory to Practice. IEA/AIE 2017. Lecture Notes in Computer Science(), vol 10350. Springer, Cham. https://doi.org/10.1007/978-3-319-60042-0_51

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  • DOI: https://doi.org/10.1007/978-3-319-60042-0_51

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60041-3

  • Online ISBN: 978-3-319-60042-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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