Movatterモバイル変換


[0]ホーム

URL:


Skip to main content

Advertisement

Springer Nature Link
Log in

From Volunteered Geographic Information to Volunteered Geographic OLAP: A VGI Data Quality-Based Approach

  • Conference paper

Part of the book series:Lecture Notes in Computer Science ((LNTCS,volume 8582))

  • 3036Accesses

Abstract

Volunteered Geographic Information (VGI) represents a valuable source of information. At the same time this data presents new data quality issues such as credibility. In this paper, we investigate the integration of VGI in Spatial OLAP (SOLAP) systems, which allow analyzing huge volume of geographic datasets. By means of a real case study, we highlight the similarities and differences of these two kinds of systems. We propose a methodology to handle VGI data quality issues during the warehousing and OLAPing phases. In particular, we define a new aggregation ETL operator based on the VGI credibility. We also present a spatio-multidimensional model that provides decision-makers with a general description of the correctness of the SOLAP aggregations.

This is a preview of subscription content,log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
¥17,985 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
JPY 3498
Price includes VAT (Japan)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
JPY 5719
Price includes VAT (Japan)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
JPY 7149
Price includes VAT (Japan)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide -see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Galindo, A., Díaz, P.: A quality approach to volunteer geographic information. In: Proc. 7th International Symposium on Spatial Data Quality, pp. 109–114 (2011)

    Google Scholar 

  2. Arigon, A., Tchounikine, A., Miquel, M.: Handling multiple points of view in a multimedia data warehouse. TOMCCAP 2(3), 199–218 (2006)

    Article  Google Scholar 

  3. Bernier, E., Gosselin, P., Badard, T., Bédard, Y.: Easier surveillance of climate-related health vulnerabilities through a web-based spatial olap application. International Journal of Health Geographics 8, 8–18 (2009)

    Article  Google Scholar 

  4. Boulil, K., Bimonte, S., Pinet, F.: A UML & spatial OCL based approach for handling quality issues in SOLAP systems. In: Proc. 14th International Conference on Enterprise Information Systems, pp. 99–104 (2012)

    Google Scholar 

  5. Daniel, F., Casati, F., Palpanas, T., Chayka, O.: Managing Data Quality in Business Intelligence Applications. In: Proc. QDB/MUD, pp. 133–143 (2008)

    Google Scholar 

  6. Devillers, R., Jeansoulin, R.: Fundamentals of Spatial Data Quality. ISTE, London (2006)

    Google Scholar 

  7. Dyreson, C., Pedersen, T., Jensen, C.: Incomplete information in multidimensional databases. Multidimensional Databases, 282–309 (2003)

    Google Scholar 

  8. Flanagin, A., Metzger, M.: The credibility of volunteered geographic information. GeoJournal 72, 137–148 (2008)

    Article  Google Scholar 

  9. Goodchild, M.: Citizens as sensors: The world of volunteered geography. GeoJournal 69, 211–221 (2007)

    Article  Google Scholar 

  10. Goodchild, M., Glennon, J.: Crowdsourcing geographic information for disaster response: A research frontier. Int. J. Digital Earth 3, 231–241 (2010)

    Article  Google Scholar 

  11. Gouveia, C., Fonseca, C.: New approaches to environmental monitoring: the use of ICT to explore volunteered geographic information. GeoJournal 72, 185–197 (2008)

    Article  Google Scholar 

  12. Malinowski, E., Zimányi, E.: Advanced Data Warehouse Design: From Conventional to Spatial and Temporal Applications. Springer (2008)

    Google Scholar 

  13. Maué, P., Schade, S.: Quality Of Geographic Information Patchworks. In: Proc. 11th AGILE International Conference on Geographic Information Science, pp. 1–8 (2008)

    Google Scholar 

  14. Pérez-Martínez, J.M., Llavori, R.B., Cabo, M.J.A., Pedersen, T.B.: Contextualizing data warehouses with documents. Decision Support Systems 45, 77–94 (2008)

    Article  Google Scholar 

  15. Rinner, C., KeSSler, C., Andrulis, S.: The use of web 2.0 concepts to support deliberation in spatial decision-making. Computers, Environment and Urban Systems 32, 386–395 (2008)

    Article  Google Scholar 

  16. Roche, S., Propeck-Zimmermann, E., Mericskay, B.: Geoweb and crisis management: issues and perspectives of volunteered geographic information. GeoJournal, 1–20 (2011)

    Google Scholar 

  17. Vassiliadis, P.: A Survey of Extract-Transform-Load Technology. IJDWM 5(3), 1–27 (2009)

    Google Scholar 

  18. Feng, L., Dillon, S.: Using Fuzzy Linguistic Representations to Provide Explanatory Semantics for Data Warehouses. IEEE Trans. Knowl. Data Eng. 15(1), 86–102 (2003)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. TSCF, Irstea, 9 avenue Blaise Pascal, CS20085, 63178, Aubière, France

    Sandro Bimonte

  2. LSIS, CNRS, Aix Marseille University, Av. Escadrille Normandie-Niemen, 13397, Marseille, France

    Omar Boucelma, Olivier Machabert & Sana Sellami

Authors
  1. Sandro Bimonte

    You can also search for this author inPubMed Google Scholar

  2. Omar Boucelma

    You can also search for this author inPubMed Google Scholar

  3. Olivier Machabert

    You can also search for this author inPubMed Google Scholar

  4. Sana Sellami

    You can also search for this author inPubMed Google Scholar

Editor information

Editors and Affiliations

  1. School of Engineering, University of Basilicata, 85100, Potenza, Italy

    Beniamino Murgante

  2. Department of Computer and Information Sciences, Covenant University, Ota, Nigeria

    Sanjay Misra

  3. Department of Production and Systems, University of Minho, 4710-057, Braga, Portugal

    Ana Maria A. C. Rocha

  4. DICAR, Polytecnico di Bari, 70125, Bari, Italy

    Carmelo Torre

  5. University of Minho, Braga, Portugal

    Jorge Gustavo Rocha  & Maria Irene Falcão  & 

  6. Monash University, 3800, Clayton, VIC, Australia

    David Taniar

  7. Department of Intelligent Informatics, Kyushu Sangyo University, 2-3-1 Matsukadai, 813-8503, Higashi-ku, Fukuoka, Japan

    Bernady O. Apduhan

  8. Department of Mathematics and Computer Science, University of Perugia, Via Vanvitelli, 1, 06123, Perugia, Italy

    Osvaldo Gervasi

Rights and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Bimonte, S., Boucelma, O., Machabert, O., Sellami, S. (2014). From Volunteered Geographic Information to Volunteered Geographic OLAP: A VGI Data Quality-Based Approach. In: Murgante, B.,et al. Computational Science and Its Applications – ICCSA 2014. ICCSA 2014. Lecture Notes in Computer Science, vol 8582. Springer, Cham. https://doi.org/10.1007/978-3-319-09147-1_6

Download citation

Publish with us

Access this chapter

Subscribe and save

Springer+ Basic
¥17,985 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
JPY 3498
Price includes VAT (Japan)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
JPY 5719
Price includes VAT (Japan)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
JPY 7149
Price includes VAT (Japan)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide -see info

Tax calculation will be finalised at checkout

Purchases are for personal use only


[8]ページ先頭

©2009-2025 Movatter.jp