Detecting outliers in metadata from digital map libraries

Authors

  • Walter Renteria Agualimpia Universidad de Zaragoza
  • Francisco Javier López Pellicer Universidad de Zaragoza
  • Aneta J. Florczyk Universidad de Zaragoza
  • Juan López de Larrinzar Universidad de Zaragoza
  • Javier Lacasta Universidad de Zaragoza
  • Pedro R. Muro-Medrano Universidad de Zaragoza
  • Francisco Javier Zarazaga Soria Universidad de Zaragoza

DOI:

https://doi.org/10.54886/scire.v19i1.3988

Keywords:

DML, Metadata, Spatial clustering, Geographic statistic analysis, Outliers detection

Abstract

The validation of the metadata associated with digitalized maps is one of the main problems related to the preservation of cartographic information in digital map libraries. This article describes the first research phases of a new automatic method to ensure the validity of spatial metadata. The method is based on the combination of spatial clustering techniques and geographical statistical analysis.

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Published

2012-08-21

How to Cite

Renteria Agualimpia, W., López Pellicer, F. J., Florczyk, A. J., López de Larrinzar, J., Lacasta, J., Muro-Medrano, P. R., & Zarazaga Soria, F. J. (2012). Detecting outliers in metadata from digital map libraries. Scire: Knowledge Representation and Organization (ISSNe 2340-7042; ISSN 1135-3716), 19(1), 23–29. https://doi.org/10.54886/scire.v19i1.3988

Issue

Vol.19, N.1 (2013)

Section

Articles

License

Copyright (c) 2012 Authors retain their copyright, but transfer the exploitation rights (reproduction, distribution, public communication and transformation) to the journal in a non-exclusive way and guarantee the right to the first publication of their work to the journal, which will be simultaneously subjected to the license CC BY-NC-ND. Authors take whole personal responsibility on fulfilling all the appropiate ethical codes and laws, and obtaining all the necessary copyright permissions regarding their articles. Institutional and self- archiving is allowed and encouraged.

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

© 1996- . Authors retain their copyright, but transfer the exploitation rights (reproduction, distribution, public communication and transformation) to the journal in a non-exclusive way and guarantee the right to the first publication of their work to the journal, which will be simultaneously subjected to the license CC BY-NC-ND. Authors take whole personal responsibility on fulfilling all the appropiate ethical codes and laws, and obtaining all the necessary copyright permissions regarding their articles. Institutional and self- archiving is allowed and encouraged.