... |
... |
@@ -1,40 +1,25 @@ |
1 |
1 |
{{include reference="SUZ.Permissions.userUIPermissions.WebHome"/}} |
2 |
2 |
|
3 |
|
-{{box cssClass="box_green"}} |
4 |
|
-Although semantic technologies are widely recognized as essential for digital transformation, their adoption in official statistics remains limited. Many existing data and metadata exchange standards — such as SDMX and SIMS — are developed within object-oriented frameworks and lack integration with Semantic Web technologies. Classifications and reference systems used in statistics often have no persistent URIs, making it difficult to build sustainable semantic metadata. |
|
3 |
+The **//Interoperability Basis//** project is an open, non-profit initiative designed to eliminate the technological and organizational barriers that impede effective [[Linked Data (LD)>>https://www.w3.org/DesignIssues/LinkedData||rel="noopener noreferrer" target="_blank"]] exchange. It integrates existing data-exchange standards ([[SDMX>>url:https://sdmx.org/||rel="noopener noreferrer" target="_blank"]], [[SIMS (ESS, ESMS, ESQRS)>>url:https://ec.europa.eu/eurostat/documents/64157/4373903/SIMS-2-0-Revised-standards-November-2015-ESSC-final.pdf/47c0b80d-0e19-4777-8f9e-28f89f82ce18||rel="noopener noreferrer" target="_blank"]], [[DDI>>https://ddialliance.org/||rel="noopener noreferrer" target="_blank"]], etc.), classifications and reference systems into the [[Semantic Web>>url:https://www.w3.org/2001/sw/wiki/Main_Page]] by providing a controlled namespace and robust infrastructure for persistent URIs. The platform transforms object-oriented formats into [[RDF>>url:https://www.w3.org/RDF/||rel="noopener noreferrer" target="_blank"]]/[[OWL>>url:https://www.w3.org/OWL/||rel="noopener noreferrer" target="_blank"]], offers semantic models and semantically annotated APIs, and ensures precise, unambiguous interpretation of information. Adhering to FAIR principles, Interoperability Basis serves open-data publishers, statistical and analytical agencies, research and governmental institutions, IT companies and startups. It accelerates the adoption of semantic technologies across domains such as economics, finance, statistics and healthcare, and underpins AI and explainable-AI applications by delivering high-quality, structured, semantically enriched data. ([[more>>doc:About.WebHome]]) |
5 |
5 |
|
6 |
|
-**Interoperability Basis** addresses these challenges through an open, non-profit platform that semantically enables existing standards. The platform supports semantic alignment, enrichment, and publication of models using a knowledge management system, modeling tools, namespace control, and persistent URI infrastructure. |
|
5 |
+==== **Current Platform Status** ==== |
7 |
7 |
|
8 |
|
-By fostering international collaboration around semantic assets such as code lists and glossaries, the project supports the broader adoption of FAIR principles, scalable integration of Semantic Web technologies into information sharing and linked data dissemination, as well as the seamless use of interoperable data in AI-powered and user-friendly applications. |
9 |
|
-{{/box}} |
|
7 |
+We are now fully focused on the semantic enablement of the [[SDMX>>url:https://sdmx.org/||rel="noopener noreferrer" target="_blank"]] standard. Our team is mapping SDMX’s core concepts and code lists into [[RDF>>url:https://www.w3.org/RDF/||rel="noopener noreferrer" target="_blank"]]/[[OWL>>url:https://www.w3.org/OWL/||rel="noopener noreferrer" target="_blank"]], minting persistent URIs for its data structures, and publishing an SDMX ontology that supports both human-readable documentation and machine-processable queries. This work lays the groundwork for seamless integration of statistical data into Linked Data ecosystems and paves the way for future extensions to additional standards. |
10 |
10 |
|
11 |
|
-Although semantic technologies are widely recognized as essential for digital transformation, their adoption in official statistics remains limited. Many existing data and metadata exchange standards — such as SDMX and SIMS — are developed within object-oriented frameworks and lack integration with Semantic Web technologies. Classifications and reference systems used in statistics often have no persistent URIs, making it difficult to build sustainable semantic metadata. |
|
9 |
+(% style="font-size:22px" %)To proceed to the semantic transformation of the [[image:sdmx-logo_2.png||alt="sdmx_logo.jpg" height="28" width="91"]] standard(%%) - [[~[~[image:thumb-Кнопка Semantic SDMX 1_2.svg~|~|alt="thumb-Кнопка Semantic SDMX 1_1.svg" height="48" width="99"~]~]>>doc:sdmx:Main.WebHome]] |
12 |
12 |
|
13 |
|
-**Interoperability Basis** addresses these challenges through an open, non-profit platform that semantically enables existing standards. The platform supports semantic alignment, enrichment, and publication of models using a knowledge management system, modeling tools, namespace control, and persistent URI infrastructure. |
|
11 |
+==== **Invitation to Collaborate** ==== |
14 |
14 |
|
15 |
|
-By fostering international collaboration around semantic assets such as code lists and glossaries, the project supports the broader adoption of FAIR principles, scalable integration of Semantic Web technologies into information sharing and linked data dissemination, as well as the seamless use of interoperable data in AI-powered and user-friendly applications. |
|
13 |
+We welcome partners and contributors to join us in advancing semantic interoperability. To become part of the Interoperability Basis community or to learn more about our SDMX workstream, please reach out at [[info@semanticip.org>>mailto:info@semanticip.org]]. |
16 |
16 |
|
17 |
17 |
|
18 |
|
----- |
19 |
19 |
|
20 |
|
-**Current Focus: SDMX** |
21 |
21 |
|
22 |
|
-We are developing a semantic layer for the SDMX standard. This includes: |
23 |
23 |
|
24 |
|
-* Transformation of core glossary concepts and code lists into RDF/OWL |
25 |
|
-* Creation of persistent URIs for glossary terms and codes |
26 |
|
-* Semantic alignment of standard documents and glossary terminology |
27 |
|
-* Publication of structured, semantically annotated SDMX documents |
28 |
|
-* Presentation of prepared semantic models for expert review and discussion |
29 |
29 |
|
30 |
|
-This work supports seamless integration of statistical data into the Linked Data ecosystem and lays the foundation for future extension to other standards. |
31 |
31 |
|
32 |
|
-[Explore our Semantic SDMX section →] [[~[~[image:thumb-Кнопка Semantic SDMX 1_2.svg~|~|alt="thumb-Кнопка Semantic SDMX 1_1.svg" height="48" width="99"~]~]>>doc:sdmx:Main.WebHome]] |
33 |
33 |
|
34 |
|
-**Collaborate With Us** |
35 |
35 |
|
36 |
|
-We welcome contributors, domain experts, and partner organizations to help advance semantic interoperability. |
37 |
|
-To join the Interoperability Basis community or learn more, write to us at: [[info@semanticip.org>>mailto:info@semanticip.org]]. |
38 |
38 |
|
39 |
39 |
|
40 |
40 |
|
... |
... |
@@ -47,13 +47,4 @@ |
47 |
47 |
|
48 |
48 |
|
49 |
49 |
|
50 |
|
- |
51 |
|
- |
52 |
|
- |
53 |
|
- |
54 |
|
- |
55 |
|
- |
56 |
|
- |
57 |
|
- |
58 |
|
- |
59 |
59 |
|