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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]] technologies. It transforms 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/]], [[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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-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/OWL, 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-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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-To proceed to the semantic transformation of the [[SDMX>>url:https://sdmx.org/||rel="noopener noreferrer" target="_blank"]] standard, click here - [[SDMX>>doc:sdmx:Main.WebHome||rel="noopener noreferrer" target="_blank"]] |
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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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-==== **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 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 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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+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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+**We invite partners to join the international, non-profit Interoperability Basis initiative and a shared semantic infrastructure** |
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+* **International organizations. **Can benefit from using a sustainable platform for expressing their standards as semantic assets: transform, enrich and align their structures and semantics; apply tools to convert/develop data schemas, vocabularies, and code lists into RDF/OWL; assign persistent URIs; manage the sections of their standards in the common namespace; maintain these discoverable, reusable, and interoperable assets across domains. |
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+* **Governments and public administrations. **Can release high-value datasets and classification systems based on semantically transformed, enriched and aligned standards provided by the platform. They can also benefit from sustainable publishing of public data using persistent URIs, semantically enhanced classifications, and interoperable APIs, while also aligning their open data with semantic standards to ensure long-term transparency and cross-border interoperability. |
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+* **Enterprises. **Can leverage the platform as a foundation for building a corporate semantic core and for managing enterprise metadata in a consistent, standards-based way. This shared semantic infrastructure accelerates information sharing, supports digital transformation, and enables the development of AI applications that rely on high-quality, interoperable data. The platform’s persistent URIs and standardized semantic models help reduce implementation costs for scalable enterprise solutions. |
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+* **Academic and research institutions. **Can benefit from an open, authoritative interoperability infrastructure that fosters international collaboration across research teams and disciplines. The platform supports joint pilot projects, semantic modeling studies, and contributions to the development and alignment of data standards, enabling researchers to actively participate in shaping the semantic foundations of global data exchange. |
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+* **Semantic Web technology developers. **Can use the platform’s namespace to build and publish their own semantic assets with persistent URIs. Participation enables integration with real-world data ecosystems, early access to new semantic standards, and visibility within a community working on applied Linked Data solutions. |
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+**Together, we can drive the global transition towards FAIR and interoperable data through semantics — fostering the growth of Linked Data and enabling smarter, AI-driven applications powered by clear, reusable, and semantically rich data models.** |
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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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