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Artur 25.1 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.
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Artur 25.1 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.
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Artur 25.1 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.
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Artur 27.1 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.
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Artur 27.1 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.
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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.
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Artur 25.1 20 **Current Focus: SDMX**
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Artur 25.1 22 We are developing a semantic layer for the SDMX standard. This includes:
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Artur 25.1 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
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Artur 25.1 30 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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Artur 25.1 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]]
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Artur 25.1 34 **Collaborate With Us**
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Artur 25.1 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]].
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