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{{include reference="SUZ.Permissions.userUIPermissions.WebHome"/}} |
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{{box cssClass="box_green"}} |
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-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. |
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+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 >>https://sdmx.org/]]and [[SIMS >>https://ec.europa.eu/eurostat/documents/64157/4373903/SIMS-2-0-Revised-standards-November-2015-ESSC-final.pdf/47c0b80d-0e19-4777-8f9e-28f89f82ce18]]— are developed within object-oriented frameworks and lack integration with [[Semantic Web>>https://www.w3.org/2001/sw/wiki/Main_Page]] technologies. Classifications and reference systems used in statistics often have no persistent [[URIs>>https://www.w3.org/Addressing/URL/uri-spec.html]], making it difficult to build sustainable semantic metadata. |
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**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. |
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-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. |
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+By fostering international collaboration around semantic assets such as code lists and glossaries, the project supports the broader adoption of [[FAIR principles>>https://www.go-fair.org/fair-principles/]], scalable integration of [[Semantic Web>>https://www.w3.org/2001/sw/wiki/Main_Page]] technologies into information sharing and [[linked data>>https://www.w3.org/DesignIssues/LinkedData]] dissemination, as well as the seamless use of interoperable data in AI-powered and user-friendly applications. |
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+[[~[Learn more about us →~]>>About.WebHome]] |
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---- |
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**Current Focus: SDMX** |
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-We are developing a semantic layer for the SDMX standard. This includes: |
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+We are developing a semantic layer for the [[SDMX standard>>https://sdmx.org/]]. This includes: |
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-* Transformation of core glossary concepts and code lists into RDF/OWL |
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-* Creation of persistent URIs for glossary terms and codes |
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+* Transformation of core [[glossary>>doc:sdmx:Glossary.WebHome]] concepts and code lists into [[RDF>>https://www.w3.org/RDF/]]/[[OWL>>https://www.w3.org/OWL/]] |
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+* Creation of persistent [[URIs>>https://www.w3.org/Addressing/URL/uri-spec.html]] for glossary terms and codes |
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* Semantic alignment of standard documents and glossary terminology |
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* Publication of structured, semantically annotated SDMX documents |
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* Presentation of prepared semantic models for expert review and discussion |
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-This work supports seamless integration of statistical data into the Linked Data ecosystem and lays the foundation for future extension to other standards. |
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+This work supports seamless integration of statistical data into the [[Linked Data>>https://www.w3.org/DesignIssues/LinkedData]] ecosystem and lays the foundation for future extension to other standards. |
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[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]] |
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