From version 48.3
edited by Artur
on 2025/06/23 16:37
Change comment: There is no comment for this version
To version 2.1
edited by Artur
on 2025/04/21 11:31
Change comment: Imported from XAR

Summary

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1 -Towards FAIR and Interoperable Statistical Data
1 +Interoperability Basis
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1 1  {{include reference="SUZ.Permissions.userUIPermissions.WebHome"/}}
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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.
3 += **Interoperability Basis** =
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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.
5 +**Interoperability Basis - ...**
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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.
7 +== Library ==
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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.
9 +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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11 +[[Open>>doc:Library.WebHome]]
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13 +== Methodology ==
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15 +Methodological materials of the domain “SDMX” (including classifiers or their selected sections) are the most important documents uploaded to library materials, structured and marked using hypertext markup with related terms [[glossary>>doc:Glossary.WebHome]] and cross-references to methodological documents.
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17 -**Focus: Labour Statistics**
17 +[[Open>>doc:Methodology.WebHome]]
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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.
19 +== Domain Tags ==
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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**
36 -{{/box}}
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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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