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{{include reference="SUZ.Permissions.userUIPermissions.WebHome"/}} |
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-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]]) |
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+{{box cssClass="box_green"}} |
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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||rel="noopener noreferrer" target="_blank"]] technologies. It provides the transformation of internal expertise, documents, and metadata into a coherent, machine-interpretable semantic environment. |
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-==== **Current Platform Status** ==== |
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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/||rel="noopener noreferrer" target="_blank"]], [[SKOS>>https://www.w3.org/2009/08/skos-reference/skos.html||rel="noopener noreferrer" target="_blank"]], [[XKOS>>https://rdf-vocabulary.ddialliance.org/xkos.html||rel="noopener noreferrer" target="_blank"]]), with persistent [[URIs>>https://www.w3.org/Addressing/URL/uri-spec.html||rel="noopener noreferrer" target="_blank"]] and alignment across international and national statstical institutions, and serve as the foundation for the preparation and dissemination of linked open statistical data and [[rich metadata>>http://cosmos-conference.org/index.html||rel="noopener noreferrer" target="_blank"]]. |
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-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. |
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+For [[SDMX>>https://sdmx.org/||rel="noopener noreferrer" target="_blank"]]-based structures, SKMS integrates with the [[Interoperability Basis platform>>https://basis.semanticip.org/xwiki/bin/view/Main/||rel="noopener noreferrer" target="_blank"]], responsible for the semantic transformation and publication of [[SDMX>>https://sdmx.org/||rel="noopener noreferrer" target="_blank"]] [[concepts>>https://basis.semanticip.org/xwiki/wiki/sdmx/view/Glossary/||rel="noopener noreferrer" target="_blank"]], [[code lists>>https://basis.semanticip.org/xwiki/wiki/sdmx/view/Models/||rel="noopener noreferrer" target="_blank"]], and data structures in accordance with [[Linked Data>>https://www.w3.org/DesignIssues/LinkedData||rel="noopener noreferrer" target="_blank"]] principles. |
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-To proceed to the semantic transformation of the [[image:sdmx-logo_2.png||alt="sdmx_logo.jpg" height="28" width="91"]] standard - [[click here>>doc:sdmx:Main.WebHome]] |
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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/||rel="noopener noreferrer" target="_blank"]]. |
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-==== **Invitation to Collaborate** ==== |
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+{{/box}} |
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-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]]. |
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+**Focus: Labour Statistics** |
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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>>doc:working:Methodology.WebHome||rel="noopener noreferrer" target="_blank"]] from (% style="color:#e74c3c" %)institutions(%%) such as the ILO and national statistical offices, [[key concepts>>doc:working:Glossary.WebHome||rel="noopener noreferrer" target="_blank"]], classifications, and indicators are formalised and semantically enriched. |
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+This process results in linked open statistical data and [[(% style="color:#e74c3c" %)smart metadata>>http://cosmos-conference.org/index.html||rel="noopener noreferrer" target="_blank"]](%%) 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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+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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+{{box cssClass="box_green"}} |
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+**Key Users** |
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+The Semantic Knowledge Management System is designed to support a wide range of stakeholders involved in the production, coordination, and use of statistical knowledge: |
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+* **National Statistical Offices** |
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+* **International Organisations** (e.g. [[ILO>>https://www.ilo.org/||rel="noopener noreferrer" target="_blank"]], [[FAO>>https://www.fao.org/home/en||rel="noopener noreferrer" target="_blank"]], [[Eurostat>>https://ec.europa.eu/eurostat||rel="noopener noreferrer" target="_blank"]], [[UNECE>>https://unece.org/||rel="noopener noreferrer" target="_blank"]]) |
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+* **Statistical Methodology Experts** |
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+* **Knowledge Management Teams** |
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+{{/box}} |
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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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