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On the Problem of Identifying the Quality of Geographic Metadata

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Research and Advanced Technology for Digital Libraries (ECDL 2006)

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.

This work has been partially supported by the Spanish Ministry of Education and Science through the project TIC2003-09365-C02-01 from the National Plan for Scientific Research, Development and Technology Innovation. J. Lacasta’s work has been partially supported by a grant (ref. B139/2003) from the Aragón’s Government. Special thanks should be given to A. Sánchez, M. A. Manso, C. Fernández, P. Pachól, S. Fontano, A. Amaro and S. Muñoz.

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References

  1. Barton, J., Currier, S., Hey, J.: Building Quality Assurance into Metadata Creation: an Analysis based on the Learning Objects and e-Prints Communities of Practice. In: Proceedings of the 2003 Dublin Core Conference: Supporting Communities of Discourse and Practice-Metadata Research and Applications (2003) ISBN 0-9745303-0-1

    Google Scholar 

  2. Holden, C.: From Local Challenges to a Global Community: Learning Repositories and the Global Learning Repositories Summit. The Academic ADL Co-Lab, Version 1.0 (2003)

    Google Scholar 

  3. Guy, M., Powell, A., Day, M.: Improving the Quality of Metadata in Eprint Archives. Ariadne Magazine (38) (2004), http://www.ariadne.ac.uk/

  4. Federal Geographic Data Committee (FGDC): Content Standard for Digital Geospatial Metadata, version 2.0. Document FGDC-STD-001-1998. Technical report (1998)

    Google Scholar 

  5. International Organization for Standardization (ISO): Geographic information - Metadata. ISO 19115:2003 (2003)

    Google Scholar 

  6. Armento, B., Terveen, L., Hill, W.: Predicting expert quality ratings of Web documents. In: Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval. Does ”authority” mean quality?, Athens, Greece, pp. 296–303 (2000) ISBN 1-58113-226

    Google Scholar 

  7. Custard, M., Summer, T.: Using Machine Learning to Support Quality Judgements. D-Lib Magazine 11(10) (2005) ISSN 1082-9873

    Google Scholar 

  8. Hughes, B.: Metadata Quality Evaluation: Experience from the Open Language Archives Community. In: Chen, Z., et al. (eds.) ICADL 2004. LNCS, vol. 3334, pp. 320–329. Springer, Heidelberg (2004) ISBN 3-540-24030-6

    Chapter  Google Scholar 

  9. International Organization for Standardization (ISO): Information and documentation - The Dublin Core metadata element set. ISO 15836:2003 (2003)

    Google Scholar 

  10. Zhang, B., Gonçalves, M.A., Fox, E.A.: An OAI-Based Filtering Service for CITIDEL from NDLTD. In: Sembok, T.M.T., Zaman, H.B., Chen, H., Urs, S.R., Myaeng, S.-H. (eds.) ICADL 2003. LNCS, vol. 2911, pp. 590–601. Springer, Heidelberg (2003) ISBN 3-540-20608-6

    Chapter  Google Scholar 

  11. Nogueras-Iso, J., Zarazaga-Soria, F.J., Lacasta, J., Béjar, R., Muro-Medrano, P.R.: Metadata Standard Interoperability: Application in the Geographic Information Domain. Computers, Environment and Urban Systems 28(6), 611–634 (2004)

    Article  Google Scholar 

  12. Nogueras-Iso, J., Zarazaga-Soria, F.J., Muro-Medrano, P.R.: Geographic Information Metadata for Spatial Data Infrastructures - Resources, Interoperability and Information Retrieval. Springer, Heidelberg (2005) ISBN 3-540-24464-6

    Google Scholar 

  13. Jolliffe, I.T.: Principal Component Analysis, 2nd edn. Springer Series in Statistics. Springer, Heidelberg (2002)

    MATH  Google Scholar 

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Tolosana-Calasanz, R., Álvarez-Robles, J.A., Lacasta, J., Nogueras-Iso, J., Muro-Medrano, P.R., Zarazaga-Soria, F.J. (2006). On the Problem of Identifying the Quality of Geographic Metadata. In: Gonzalo, J., Thanos, C., Verdejo, M.F., Carrasco, R.C. (eds) Research and Advanced Technology for Digital Libraries. ECDL 2006. Lecture Notes in Computer Science, vol 4172. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11863878_20

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  • DOI: https://doi.org/10.1007/11863878_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44636-1

  • Online ISBN: 978-3-540-44638-5

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