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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 >>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 - ...** |
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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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+== Library == |
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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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-{{/box}} |
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+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. |
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+[[Open>>doc:Library.WebHome]] |
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----- |
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+== Methodology == |
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-**Current Focus: SDMX** |
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+Methodological materials of the domain “SDMX” (including classifiers or their selected sections) are the most important documents uploaded to library materials, structured and marked using hypertext markup with related terms [[glossary>>doc:Glossary.WebHome]] and cross-references to methodological documents. |
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-We are developing a semantic layer for the [[SDMX standard>>https://sdmx.org/]]. This includes: |
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+[[Open>>doc:Methodology.WebHome]] |
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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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+== Domain Tags == |
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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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-**Collaborate With Us** |
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-We welcome contributors, domain experts, and partner organizations to help advance semantic interoperability. |
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-To join the Interoperability Basis community or learn more, write to us at: [[info@semanticip.org>>mailto:info@semanticip.org]]. |
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+{{velocity}} |
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+$xwiki.ssx.use('Main.Tags') |
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+{{/velocity}} |
