The acquiring, storing, processing and deployment of geological data, from syntax to conceptual point of view, have not always respected the harmonization rules. This is because, ample amount of freedom have been adopted responding to the various logical methods, which characterize still today the various schools of thought. It is not uncommon, in fact, find today's heterogeneous systems where the various thematic mapping is not uniquely expression of the significance and/or of the complexity of information that is hidden behind the symbol, which should unambiguously represent field reality. Information data lexicon and structures need now of a major harmonization in order to satisfy requirements of compliant between different systems of data mining. This is useful also to avoid the prevalence of a specific scientific culture, ensuring at the same time the usability and reliability of representation as well as the correct scientific rigor. In order to realize a well organized system for Geoscientific Knowledge Management, the inspiration to the Australian project Auscope (i.e. auscope.org.au) is more than suggested. It is thus necessary to look at standard conceptual and logical schemes, where each geological feature is related to the others according to shared rules defined by international working groups for standardization. In this view, the present contribution, largely based on the principles of the Geo-Scientific Mark-up Language (GeoSciML) (Laxton et al., 2010), intends to propose a logical model for rockanalysis data infrastructure able to allow: a) data storage based on more widely shared correlations lexicon; b) pyramidal views of differential scaled data; c) more reliable data comparison. GeoSciML proposes indeed a conceptual model that, following IUGS guidelines by means of international committee working group such as CGI (Commission for the Management and the Application of Geoscience Information), explores ontological, semantic and lexical aspects, in order to protect cultural pluralism, respecting at the same time the researcher intellectual rights.
Management and deployment of rock-analysis data from thin section - to field-scale
ORTOLANO, GAETANO;
2012-01-01
Abstract
The acquiring, storing, processing and deployment of geological data, from syntax to conceptual point of view, have not always respected the harmonization rules. This is because, ample amount of freedom have been adopted responding to the various logical methods, which characterize still today the various schools of thought. It is not uncommon, in fact, find today's heterogeneous systems where the various thematic mapping is not uniquely expression of the significance and/or of the complexity of information that is hidden behind the symbol, which should unambiguously represent field reality. Information data lexicon and structures need now of a major harmonization in order to satisfy requirements of compliant between different systems of data mining. This is useful also to avoid the prevalence of a specific scientific culture, ensuring at the same time the usability and reliability of representation as well as the correct scientific rigor. In order to realize a well organized system for Geoscientific Knowledge Management, the inspiration to the Australian project Auscope (i.e. auscope.org.au) is more than suggested. It is thus necessary to look at standard conceptual and logical schemes, where each geological feature is related to the others according to shared rules defined by international working groups for standardization. In this view, the present contribution, largely based on the principles of the Geo-Scientific Mark-up Language (GeoSciML) (Laxton et al., 2010), intends to propose a logical model for rockanalysis data infrastructure able to allow: a) data storage based on more widely shared correlations lexicon; b) pyramidal views of differential scaled data; c) more reliable data comparison. GeoSciML proposes indeed a conceptual model that, following IUGS guidelines by means of international committee working group such as CGI (Commission for the Management and the Application of Geoscience Information), explores ontological, semantic and lexical aspects, in order to protect cultural pluralism, respecting at the same time the researcher intellectual rights.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
