| ... |
... |
@@ -1,16 +1,61 @@ |
| 1 |
1 |
{{include reference="SUZ.Permissions.userUIPermissions.WebHome"/}} |
| 2 |
2 |
|
| 3 |
|
-//**Interoperability Basis -**// is an open, non-profit initiative aimed at overcoming technological and organizational barriers that hinder the effective exchange and dissemination of Linked Data. Its main goal is to integrate existing data exchange standards, classifications, and reference systems into the [[Semantic Web>>url:https://www.w3.org/2001/sw/wiki/Main_Page]] environment to achieve sustainable semantic interoperability across a wide range of users and use cases. ([[more>>doc:About.WebHome]]) |
|
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]] technologies. It transforms internal expertise, documents, and metadata into a coherent, machine-interpretable semantic environment. |
| 4 |
4 |
|
|
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 |
5 |
|
| 6 |
|
-**//Library //**contains stuctured documents of SDMX standard (versions 2.1 and 3.0). ([[more>>doc:Library.WebHome]]) |
|
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 |
7 |
|
|
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. |
| 8 |
8 |
|
| 9 |
|
-**//The glossary//** is based on the [[SDMX 2.1>>https://registry.sdmx.org/sdmx/v2/structure/conceptscheme/SDMX/CROSS_DOMAIN_CONCEPTS/2.0]]. As part of our contribution, we carried out substantial semantic enrichment of the glossary. This includes the introduction of formal links between terms using SKOS and DCTERMS, as well as the alignment of entries with the concept scheme of the Content-Oriented Guidelines (2009), ensuring exact matches where applicable. ([[more>>doc:Glossary.WebHome]]) |
|
12 |
+ |
|
13 |
+{{/box}} |
| 10 |
10 |
|
| 11 |
|
-== Domain Tags == |
| 12 |
12 |
|
| 13 |
|
-{{velocity}} |
| 14 |
|
-$xwiki.ssx.use('Main.Tags') |
| 15 |
|
-{{tagcloud/}} |
| 16 |
|
-{{/velocity}} |
|
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 from institutions such as the ILO and national statistical offices, key concepts, classifications, and indicators are formalised and semantically enriched. |
|
20 |
+ |
|
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. |
|
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, FAO, Eurostat, UNECE) |
|
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 |
+ |
