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edited by Artur
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edited by Artur
on 2025/06/23 16:37
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Summary

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1 -Interoperability Basis
1 +Towards FAIR and Interoperable Statistical Data
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1 1  {{include reference="SUZ.Permissions.userUIPermissions.WebHome"/}}
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3 -=== **Interoperability Basis - ...** ===
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4 +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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5 -**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.
6 +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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7 -[[Open>>doc:Library.WebHome]]
8 +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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9 -== Domain Tags ==
10 +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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17 +**Focus: Labour Statistics**
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19 +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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21 +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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23 +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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25 +[Explore our Semantic Labour Market section →] [[~[~[image:Labour Market Button.png~|~|height="52" width="185"~]~]>>doc:working:Main.WebHome]]
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28 +**Key Users**
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30 +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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32 +* **National Statistical Offices**
33 +* **International Organisations** (e.g. ILO, FAO, Eurostat, UNECE)
34 +* **Statistical Methodology Experts**
35 +* **Knowledge Management Teams**
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38 +We welcome contributors, domain experts, and partner organizations to help advance semantic interoperability.
39 +To join the Interoperability Basis community or learn more, write to us at: [[info@semanticip.org>>mailto:info@semanticip.org]].
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