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From version 49.1
edited by Artur
on 2025/06/23 16:47
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To version 56.1
edited by Yuri
on 2025/06/24 13:46
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1 -XWiki.arturkryazhev
1 +XWiki.Yuri
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1 1  {{include reference="SUZ.Permissions.userUIPermissions.WebHome"/}}
2 2  
3 3  {{box cssClass="box_green"}}
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||rel="noopener noreferrer" target="_blank"]] technologies. It transforms internal expertise, documents, and metadata into a coherent, machine-interpretable semantic environment.
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||rel="noopener noreferrer" target="_blank"]] technologies. (% style="color:#e74c3c" %)It transforms(%%) internal expertise, documents, and metadata into a coherent, machine-interpretable semantic environment.
5 5  
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/||rel="noopener noreferrer" target="_blank"]], [[SKOS>>https://www.w3.org/2009/08/skos-reference/skos.html||rel="noopener noreferrer" target="_blank"]], [[XKOS>>https://rdf-vocabulary.ddialliance.org/xkos.html||rel="noopener noreferrer" target="_blank"]]), with persistent [[URIs>>https://www.w3.org/Addressing/URL/uri-spec.html||rel="noopener noreferrer" target="_blank"]] and alignment across institutions, and serve as the foundation for the preparation and dissemination of linked open statistical data and [[smart metadata>>http://cosmos-conference.org/index.html||rel="noopener noreferrer" target="_blank"]].
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/||rel="noopener noreferrer" target="_blank"]], [[SKOS>>https://www.w3.org/2009/08/skos-reference/skos.html||rel="noopener noreferrer" target="_blank"]], [[XKOS>>https://rdf-vocabulary.ddialliance.org/xkos.html||rel="noopener noreferrer" target="_blank"]]), with persistent [[URIs>>https://www.w3.org/Addressing/URL/uri-spec.html||rel="noopener noreferrer" target="_blank"]] and alignment (% style="color:#e74c3c" %)across institutions(%%), and serve as the foundation for the preparation and dissemination of linked open statistical data and [[smart metadata>>http://cosmos-conference.org/index.html||rel="noopener noreferrer" target="_blank"]].
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8 -For [[SDMX>>https://sdmx.org/||rel="noopener noreferrer" target="_blank"]]-based structures, SKMS integrates with the [[Interoperability Basis platform>>https://basis.semanticip.org/xwiki/bin/view/Main/||rel="noopener noreferrer" target="_blank"]], enabling the semantic transformation and publication of [[SDMX>>https://sdmx.org/||rel="noopener noreferrer" target="_blank"]] [[concepts>>https://basis.semanticip.org/xwiki/wiki/sdmx/view/Glossary/||rel="noopener noreferrer" target="_blank"]], [[code lists>>https://basis.semanticip.org/xwiki/wiki/sdmx/view/Models/||rel="noopener noreferrer" target="_blank"]], and data structures in accordance with [[Linked Data>>https://www.w3.org/DesignIssues/LinkedData||rel="noopener noreferrer" target="_blank"]] principles.
8 +For [[SDMX>>https://sdmx.org/||rel="noopener noreferrer" target="_blank"]]-based structures, SKMS integrates with the [[Interoperability Basis platform>>https://basis.semanticip.org/xwiki/bin/view/Main/||rel="noopener noreferrer" target="_blank"]], (% style="color:#e74c3c" %)enabling(%%) the semantic transformation and publication of [[SDMX>>https://sdmx.org/||rel="noopener noreferrer" target="_blank"]] [[concepts>>https://basis.semanticip.org/xwiki/wiki/sdmx/view/Glossary/||rel="noopener noreferrer" target="_blank"]], [[code lists>>https://basis.semanticip.org/xwiki/wiki/sdmx/view/Models/||rel="noopener noreferrer" target="_blank"]], and data structures in accordance with [[Linked Data>>https://www.w3.org/DesignIssues/LinkedData||rel="noopener noreferrer" target="_blank"]] principles.
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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/||rel="noopener noreferrer" target="_blank"]] across organizational and national boundaries.
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/||rel="noopener noreferrer" target="_blank"]] across (% style="color:#e74c3c" %)organizational and national boundaries.
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12 12  
13 13  {{/box}}
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16 16  
17 17  **Focus: Labour Statistics**
18 18  
19 -Labour statistics is the first domain within SKMS and serves as a practical demonstration of the platform’s capabilities. Based on [[documents>>doc:working:Methodology.WebHome||rel="noopener noreferrer" target="_blank"]] from institutions such as the ILO and national statistical offices, [[key concepts>>doc:working:Glossary.WebHome||rel="noopener noreferrer" target="_blank"]], classifications, and indicators are formalised and semantically enriched.
19 +Labour statistics is the first domain within SKMS and serves as a practical demonstration of the platform’s capabilities. Based on [[documents>>doc:working:Methodology.WebHome||rel="noopener noreferrer" target="_blank"]] from (% style="color:#e74c3c" %)institutions(%%) such as the ILO and national statistical offices, [[key concepts>>doc:working:Glossary.WebHome||rel="noopener noreferrer" target="_blank"]], classifications, and indicators are formalised and semantically enriched.
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21 -This process results in linked open statistical data and [[smart metadata>>http://cosmos-conference.org/index.html||rel="noopener noreferrer" target="_blank"]] describing employment, unemployment, working conditions, and other aspects of labour statistics — aligned with international standards and ready for cross-country use.
21 +This process results in linked open statistical data and [[(% style="color:#e74c3c" %)smart metadata>>http://cosmos-conference.org/index.html||rel="noopener noreferrer" target="_blank"]](%%) 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 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.
24 24  
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30 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:
31 31  
32 32  * **National Statistical Offices**
33 -* **International Organisations** (e.g. ILO, FAO, Eurostat, UNECE)
33 +* **International Organisations** (e.g. [[ILO>>https://www.ilo.org/||rel="noopener noreferrer" target="_blank"]], [[FAO>>https://www.fao.org/home/en||rel="noopener noreferrer" target="_blank"]], [[Eurostat>>https://ec.europa.eu/eurostat||rel="noopener noreferrer" target="_blank"]], [[UNECE>>https://unece.org/||rel="noopener noreferrer" target="_blank"]])
34 34  * **Statistical Methodology Experts**
35 35  * **Knowledge Management Teams**
36 36  {{/box}}