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{{box cssClass="box_green"}} |
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== SDMX Implementation == |
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-International standards like Statistical Data and Metadata eXchange ([[SDMX>>https://sdmx.org/||rel="noopener noreferrer" target="_blank"]]) have provided a robust foundation for metadata exchange in official statistics. However, our experience has revealed significant limitations influencing the achievement of semantic interoperability. SKMS addresses these gaps by integrating SDMX structures into a semantic interpretation environment via the [[Interoperability Basis platform>>https://basis.semanticip.org/xwiki/bin/view/Main/||target="_blank"]]. The platform supports semantic alignment, enrichment, and publication of data exchange standards using a knowledge management system, modeling tools, namespace control, and persistent [[URI>>https://www.w3.org/Addressing/URL/uri-spec.html||rel="noopener noreferrer" target="_blank"]] infrastructure. |
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+International standards like Statistical Data and Metadata eXchange ([[SDMX>>https://sdmx.org/||rel="noopener noreferrer" target="_blank"]]) have provided a robust foundation for metadata exchange in official statistics. However, our experience has revealed significant limitations influencing the achievement of semantic interoperability. SKMS addresses these gaps by integrating SDMX structures into a semantic interpretation environment via the [[Interoperability Basis platform>>https://basis.semanticip.org/xwiki/bin/view/Main/||rel="noopener noreferrer" target="_blank"]]. The platform supports semantic alignment, enrichment, and publication of data exchange standards using a knowledge management system, modeling tools, namespace control, and persistent [[URI>>https://www.w3.org/Addressing/URL/uri-spec.html||rel="noopener noreferrer" target="_blank"]] infrastructure. |
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== Linked Data == |
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The full operational cycle consists of seven stages: |
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-1. Collection and systematization of methodological documents (creation of an electronic library), adding annotations, discovering terms-candidates and primary markup with related terms and documents. Publishing documents in original structured form with hypertext markup in a specialized "Methodology" section. |
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-1. The development of glossaries (the formation of detailed terminological articles), indicators descriptions based on the analysis of methodological documents, and then the generation of corresponding semantic assets. Refinement of hyper-text markup in accordance with modelled glossaries. |
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+1. Collection and systematization of methodological documents (creation of an [[electronic library>>doc:working:Library.WebHome]]), adding annotations, discovering terms-candidates and primary markup with related terms and documents. Publishing documents in original structured form with hypertext markup in a specialized "[[Methodology>>doc:working:Methodology.WebHome]]" section. |
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+1. The development of [[glossaries>>doc:working:Glossary.WebHome]] (the formation of detailed terminological articles), indicators descriptions based on the analysis of methodological documents, and then the generation of corresponding semantic assets. Refinement of hyper-text markup in accordance with modelled glossaries. |
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1. Publishing semantic assets generated in the SKMS. |
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1. Development, aligning and cataloging of necessary SA, code lists or other models of statistical domains in accordance with semantic standards. |
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1. Importing datasets from external sources or data warehouses (DWH). Transformation of datasets using the RDF Data Cube Vocabulary, semantic enrichment. |