Skip to Content
Show last authors
1 {{include reference="SUZ.Permissions.userUIPermissions.WebHome"/}}
2
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. (% style="color:#e74c3c" %)It transforms(%%) internal expertise, documents, and metadata into a coherent, machine-interpretable semantic environment.
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 (% 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"]].
7
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.
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/||rel="noopener noreferrer" target="_blank"]] across (% style="color:#e74c3c" %)organizational and national boundaries.
11
12
13 {{/box}}
14
15
16
17 **Focus: Labour Statistics**
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 (% 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.
20
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.
22
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
27 {{box cssClass="box_green"}}
28 **Key Users**
29
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
32 * **National Statistical Offices**
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 * **Statistical Methodology Experts**
35 * **Knowledge Management Teams**
36 {{/box}}
37
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]].
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61