Abstract | ||
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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. |
Year | DOI | Venue |
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2006 | 10.1007/11863878_20 | ECDL3 |
Keywords | Field | DocType |
geographic quality criterion,quality assessment,geographic metadata quality,geographic domain,geographic digital libraries,principal component analysis,geographic metadata record set,important aspect,early result,good geographic metadata,digital library,quantitative method | Geospatial analysis,Metadata,Geographic information system,World Wide Web,Geospatial metadata,Information retrieval,Computer science,Digital library,GIS and public health,Principal component analysis,Spatial data infrastructure | Conference |
Volume | ISSN | ISBN |
4172 | 0302-9743 | 3-540-44636-2 |
Citations | PageRank | References |
6 | 0.55 | 6 |
Authors | ||
6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Rafael Tolosana-Calasanz | 1 | 166 | 18.52 |
José A. Álvarez-Robles | 2 | 6 | 0.55 |
Javier Lacasta | 3 | 61 | 10.65 |
Javier Nogueras-iso | 4 | 120 | 19.43 |
Pedro R. Muro-Medrano | 5 | 115 | 13.57 |
F. Javier Zarazaga-Soria | 6 | 122 | 17.08 |