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Artur 39.3 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>>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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Artur 37.1 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>>https://www.w3.org/Addressing/URL/uri-spec.html||rel="noopener noreferrer" target="_blank"]] infrastructure.
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Artur 36.1 8 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.
Artur 39.2 9 [[~[Learn more about the project →~]>>About.WebHome||rel="noopener noreferrer" target="_blank"]]
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Artur 50.1 12 **Current Focus: SDMX** {{html}}<button
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14 onclick="location.href='/xwiki/wiki/sdmx/view/Main/';"
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16 title="Explore our Semantic SDMX section">
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Artur 36.1 19 We are developing a semantic layer for the [[SDMX standard>>https://sdmx.org/||rel="noopener noreferrer" target="_blank"]]. This includes:
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Artur 37.1 21 * Transformation of core [[glossary>>doc:sdmx:Glossary.WebHome]] concepts and [[code lists>>doc:sdmx:Models.WebHome]] into [[RDF>>https://www.w3.org/RDF/||rel="noopener noreferrer" target="_blank"]]/[[OWL>>https://www.w3.org/OWL/||rel="noopener noreferrer" target="_blank"]]
Artur 37.4 22 * Creation of persistent [[URIs>>https://www.w3.org/Addressing/URL/uri-spec.html||rel="noopener noreferrer" target="_blank"]] for applying [[glossary>>doc:sdmx:Glossary.WebHome]] terms and [[codes>>doc:sdmx:Models.WebHome]] in [[RDF Data Cube>>https://www.w3.org/TR/vocab-data-cube/||rel="noopener noreferrer" target="_blank"]]
Artur 37.1 23 * Semantic alignment of [[standard documents>>doc:sdmx:Methodology.WebHome]] and [[glossary>>doc:sdmx:Glossary.WebHome]] terminology
24 * Publication of structured, semantically annotated [[SDMX documents>>doc:sdmx:Methodology.WebHome]]
Artur 25.1 25 * Presentation of prepared semantic models for expert review and discussion
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Artur 45.1 27 All these activities are organized within a **semantic transformation pipeline of SDMX**, which spans document collection and glossary RDF generation, automated analysis and quality control of code lists, semantic enrichment, and deployment of RDF models as reusable assets.
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Artur 47.1 29 [[image:pipeline.png||height="355" width="919"]]
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Artur 45.1 31 **Figure 1. Semantic transformation pipeline of SDMX**
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Artur 36.1 33 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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Artur 42.1 36 **We invite partners to join the international, non-profit Interoperability Basis initiative and a shared semantic infrastructure**
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38 * **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.
39 * **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.
40 * **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.
41 * **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.
42 * **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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44 **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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Artur 25.1 47 We welcome contributors, domain experts, and partner organizations to help advance semantic interoperability.
48 To join the Interoperability Basis community or learn more, write to us at: [[info@semanticip.org>>mailto:info@semanticip.org]].
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