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{{include reference="SUZ.Permissions.userUIPermissions.WebHome"/}} |
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-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. |
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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>>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"]], [[XBRL>>url:https://www.xbrl.org/Specification/XBRL-2.1/REC-2003-12-31/XBRL-2.1-REC-2003-12-31+corrected-errata-2013-02-20.html||rel="noopener noreferrer" target="_blank"]], [[UN/EDIFACT>>url:https://unece.org/trade/uncefact||rel="noopener noreferrer" target="_blank"]], [[NIEM>>url:https://www.niem.gov/||rel="noopener noreferrer" target="_blank"]], [[HL7>>url:https://www.hl7.org/||rel="noopener noreferrer" target="_blank"]] — are developed within object-oriented frameworks and lack integration with [[Semantic Web>>https://www.w3.org/2001/sw/wiki/Main_Page||rel="noopener noreferrer" target="_blank"]] technologies. Classifications and reference systems used in statistics often have no persistent [[URIs>>https://www.w3.org/Addressing/URL/uri-spec.html||rel="noopener noreferrer" target="_blank"]], making it difficult to build sustainable semantic metadata. |
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-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. |
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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>>https://www.w3.org/Addressing/URL/uri-spec.html||rel="noopener noreferrer" target="_blank"]] infrastructure. |
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-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. |
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-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. |
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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/||rel="noopener noreferrer" target="_blank"]], scalable integration of [[Semantic Web>>https://www.w3.org/2001/sw/wiki/Main_Page||rel="noopener noreferrer" target="_blank"]] technologies into information sharing and [[linked data>>https://www.w3.org/DesignIssues/LinkedData||rel="noopener noreferrer" target="_blank"]] dissemination, as well as the seamless use of interoperable data in AI-powered and user-friendly applications. |
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+[[~[Learn more about the project →~]>>About.WebHome||rel="noopener noreferrer" target="_blank"]] |
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+**Current Focus: SDMX** |
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+We are developing a semantic layer for the [[SDMX standard>>https://sdmx.org/||rel="noopener noreferrer" target="_blank"]]. This includes: |
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-**Focus: Labour Statistics** |
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+* Transformation of core glossary concepts and code lists into [[RDF>>https://www.w3.org/RDF/||rel="noopener noreferrer" target="_blank"]]/[[OWL>>https://www.w3.org/OWL/||rel="noopener noreferrer" target="_blank"]] |
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+* Creation of persistent [[URIs>>https://www.w3.org/Addressing/URL/uri-spec.html||rel="noopener noreferrer" target="_blank"]] for applying glossary terms and codes in [[RDF Data Cube>>https://www.w3.org/TR/vocab-data-cube/||rel="noopener noreferrer" target="_blank"]] |
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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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-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. |
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+This work supports seamless integration of statistical data into the [[Linked Data>>https://www.w3.org/DesignIssues/LinkedData||rel="noopener noreferrer" target="_blank"]] ecosystem and lays the foundation for future extension to other standards. |
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-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. |
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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="64" width="142"]] |
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-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. |
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-[Explore our Semantic Labour Market section →] [[~[~[image:Labour Market Button.png~|~|height="52" width="185"~]~]>>doc:working:Main.WebHome]] |
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**We invite partners to join the international, non-profit Interoperability Basis initiative and a shared semantic infrastructure** |
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