| ... |
... |
@@ -1,16 +1,61 @@ |
| 1 |
1 |
{{include reference="SUZ.Permissions.userUIPermissions.WebHome"/}} |
| 2 |
2 |
|
| 3 |
|
-=== **Interoperability Basis - ...** === |
|
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 |
4 |
|
| 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 |
6 |
|
| 7 |
|
-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. |
|
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 |
8 |
|
| 9 |
|
-[[Open>>doc:Library.WebHome]] |
|
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 |
10 |
|
| 11 |
|
-== Domain Tags == |
|
12 |
+ |
|
13 |
+{{/box}} |
| 12 |
12 |
|
| 13 |
|
-{{velocity}} |
| 14 |
|
-$xwiki.ssx.use('Main.Tags') |
| 15 |
|
-{{tagcloud/}} |
| 16 |
|
-{{/velocity}} |
|
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 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 |
+ |
