Skip to Content
Hide last authors
Artur 2.1 1 {{include reference="SUZ.Permissions.userUIPermissions.WebHome"/}}
superadmin 1.1 2
Artur 29.1 3 {{box cssClass="box_green"}}
Artur 48.2 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.
Artur 3.4 5
Artur 48.5 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/]], [[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>>http://cosmos-conference.org/index.html]].
Artur 11.1 7
Artur 48.4 8 For [[SDMX>>https://sdmx.org/]]-based structures, SKMS integrates with the [[Interoperability Basis platform>>https://basis.semanticip.org/xwiki/bin/view/Main/]], enabling the semantic transformation and publication of [[SDMX>>https://sdmx.org/]] [[concepts>>https://basis.semanticip.org/xwiki/wiki/sdmx/view/Glossary/]], [[code lists>>https://basis.semanticip.org/xwiki/wiki/sdmx/view/Models/]], and data structures in accordance with [[Linked Data>>https://www.w3.org/DesignIssues/LinkedData]] principles.
Artur 48.2 9
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.
11
12
Artur 27.1 13 {{/box}}
Artur 11.1 14
15
Artur 19.1 16
Artur 48.2 17 **Focus: Labour Statistics**
Artur 19.1 18
Artur 48.5 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]] from institutions such as the ILO and national statistical offices, [[key concepts>>doc:working:Glossary.WebHome]], classifications, and indicators are formalised and semantically enriched.
Artur 19.1 20
Artur 48.5 21 This process results in linked open statistical data and [[smart metadata>>http://cosmos-conference.org/index.html]] describing employment, unemployment, working conditions, and other aspects of labour statistics — aligned with international standards and ready for cross-country use.
Artur 19.1 22
Artur 48.2 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
25 [Explore our Semantic Labour Market section →] [[~[~[image:Labour Market Button.png~|~|height="52" width="185"~]~]>>doc:working:Main.WebHome]]
26
Artur 39.4 27 {{box cssClass="box_green"}}
Artur 48.3 28 **Key Users**
Artur 39.13 29
Artur 48.3 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:
Artur 39.13 31
Artur 48.3 32 * **National Statistical Offices**
33 * **International Organisations** (e.g. ILO, FAO, Eurostat, UNECE)
34 * **Statistical Methodology Experts**
35 * **Knowledge Management Teams**
Artur 39.4 36 {{/box}}
Artur 19.1 37
Artur 25.1 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]].
Artur 19.1 40
41
42
43
44
45
46
47
48
49
50
Artur 20.1 51
52
53
54
Artur 25.1 55
56
57
58
59
60
Artur 8.8 61