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{{include reference="SUZ.Permissions.userUIPermissions.WebHome"/}} |
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-=== **Interoperability Basis - ...** === |
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+{{box cssClass="box_green"}} |
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+The Semantic Knowledge Management System (SKMS) is a platform for structuring and publishing institutional statistical knowledge using [[Semantic Web>>https://www.w3.org/2001/sw/wiki/Main_Page]] technologies. It transforms internal expertise, documents, and metadata into a coherent, machine-interpretable semantic environment. |
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-**A library of methodological and analytical materials** in the SDMX domain, systematized for subsequent analysis and structuring, including: (1) methodological documents, (2) classifiers and international standards; (3) necessary sections of statistical dictionaries (explanatory, encyclopedic); (4) supporting information needed to provide context for Linked Open Statistical Data (LOSD), including links to useful sources. |
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+Statistical glossaries, classifications, and indicators are extracted, formalised, and semantically enriched through the analysis of materials collected in the document Library. These assets are then represented as semantic models ([[RDF>>https://www.w3.org/RDF/]], [[SKOS>>https://www.w3.org/2009/08/skos-reference/skos.html]], [[XKOS>>https://rdf-vocabulary.ddialliance.org/xkos.html]]), with persistent [[URIs>>https://www.w3.org/Addressing/URL/uri-spec.html]] and alignment across institutions, and serve as the foundation for the preparation and dissemination of linked open statistical data and smart metadata. |
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-[[Open>>doc:Library.WebHome]] |
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+For SDMX-based structures, SKMS integrates with the Interoperability Basis platform, enabling the semantic transformation and publication of SDMX concepts, code lists, and data structures in accordance with [[Linked Data>>https://www.w3.org/DesignIssues/LinkedData]] principles. |
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-== Domain Tags == |
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+SKMS fosters the discovery, reuse, and interoperability of statistical data and metadata, providing a robust foundation for implementing the [[FAIR principles>>https://www.go-fair.org/fair-principles/]] across organizational and national boundaries. |
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-{{velocity}} |
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-$xwiki.ssx.use('Main.Tags') |
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-{{tagcloud/}} |
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-{{/velocity}} |
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+{{/box}} |
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+**Focus: Labour Statistics** |
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+Labour statistics is the first domain within SKMS and serves as a practical demonstration of the platform’s capabilities. Based on documents from institutions such as the ILO and national statistical offices, key concepts, classifications, and indicators are formalised and semantically enriched. |
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+This process results in linked open statistical data and smart metadata describing employment, unemployment, working conditions, and other aspects of labour statistics — aligned with international standards and ready for cross-country use. |
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+The platform is ready to be enlarged by national statistical institutions and international organisations seeking to enhance the semantic quality and interoperability of statistical data. |
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+[Explore our Semantic Labour Market section →] [[~[~[image:Labour Market Button.png~|~|height="52" width="185"~]~]>>doc:working:Main.WebHome]] |
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+{{box cssClass="box_green"}} |
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+**Key Users** |
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+The Semantic Knowledge Management System is designed to support a wide range of stakeholders involved in the production, coordination, and use of statistical knowledge: |
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+* **National Statistical Offices** |
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+* **International Organisations** (e.g. ILO, FAO, Eurostat, UNECE) |
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+* **Statistical Methodology Experts** |
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+* **Knowledge Management Teams** |
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+{{/box}} |
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+We welcome contributors, domain experts, and partner organizations to help advance semantic interoperability. |
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+To join the Interoperability Basis community or learn more, write to us at: [[info@semanticip.org>>mailto:info@semanticip.org]]. |
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