Abstract
The results of scientific activities that include observations, experiments, interactions, deductions, etc. are stored in data sets and typically kept and managed in an ad-hoc manner. It requires a substantial effort to discover and evaluate data quality and suitability for a particular analysis. The provision of appropriate metadata and links to related resources enables the possibility of intelligent assistance in finding and evaluating data sets for scientific research. This paper presents a method for describing and retrieving semantic information from meteorological data. We have developed appropriate support and retrieval services to enable inference and retrieval tasks over scientific data sets semantics. The conceptualization of the subject domain including the development of the vocabulary is performed using RDF model and schema constructs. Our work achieves its primary goal, which is to enable machine processing of semantic information.
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Soldar, G., Smith, D. (2002). An Architecture for Retrieval of RDF-Described Scientific Data Semantics. In: Chaudhri, A.B., Unland, R., Djeraba, C., Lindner, W. (eds) XML-Based Data Management and Multimedia Engineering — EDBT 2002 Workshops. EDBT 2002. Lecture Notes in Computer Science, vol 2490. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36128-6_31
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DOI: https://doi.org/10.1007/3-540-36128-6_31
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