Abstract
The paper addresses the problem of geo-referenced documents management and discovery, concerning the use of metadata and ontology. It shows, that the metadata profile developed for the INSPIRE does not meet the requirements set out for the documents retrieving in the documentation centers as well as the majority of the public administration offices. It highlights the need of building the tools for indirect and hidden references and metadata attributes exploration of the geodetic documents like field sketches and others. It indicates the possibility of using ontology, which extending the metadata profile would allow to link different types of documents that correlate indirectly in the space and time.
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Kubik, T., Iwaniak, A. (2009). Information Retrieval in the Geodetic and Cartographic Documentation Centers. In: Nguyen, N.T., Katarzyniak, R.P., Janiak, A. (eds) New Challenges in Computational Collective Intelligence. Studies in Computational Intelligence, vol 244. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03958-4_9
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DOI: https://doi.org/10.1007/978-3-642-03958-4_9
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-03957-7
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