Abstract
Geographic metadata quality is one of the most important aspects on the performance of Geographic Digital Libraries. After reviewing previous attempts outside the geographic domain, this paper presents early results from a series of experiments for the development of a quantitative method for quality assessment. The methodology is developed through two phases. Firstly, a list of geographic quality criteria is compiled from several experts of the area. Secondly, a statistical analysis (by developing a Principal Component Analysis) of a selection of geographic metadata record sets is performed in order to discover the features which correlate with good geographic metadata. © Springer-Verlag Berlin Heidelberg 2006.
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CITATION STYLE
Tolosana-Calasanz, R., Álvarez-Robles, J. A., Lacasta, J., Nogueras-Iso, J., Muro-Medra, P. R., & Zarazaga-Soria, F. J. (2006). On the problem of identifying the quality of geographic metadata. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4172 LNCS, pp. 232–243). Springer Verlag. https://doi.org/10.1007/11863878_20
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