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From version 48.1
edited by Artur
on 2025/06/20 12:05
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To version 51.1
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on 2025/06/24 13:36
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1 -XWiki.arturkryazhev
1 +XWiki.Yuri
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1 1  {{include reference="SUZ.Permissions.userUIPermissions.WebHome"/}}
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3 3  {{box cssClass="box_green"}}
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.
4 +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. (% style="color:#e74c3c" %)It transforms(%%) internal expertise, documents, and metadata into a coherent, machine-interpretable semantic environment.
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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.
6 +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 institutions, and serve as the foundation for the preparation and dissemination of linked open statistical data and [[smart metadata>>http://cosmos-conference.org/index.html||rel="noopener noreferrer" target="_blank"]].
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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.
9 -[[~[Learn more about the project →~]>>About.WebHome||rel="noopener noreferrer" target="_blank"]]
8 +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"]], enabling 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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10 +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"]] across organizational and national boundaries.
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10 10  {{/box}}
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12 -**Current Focus: SDMX**
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14 -We are developing a semantic layer for the [[SDMX standard>>https://sdmx.org/||rel="noopener noreferrer" target="_blank"]]. This includes:
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16 -* 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"]]
17 -* 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"]]
18 -* Semantic alignment of standard documents and glossary terminology
19 -* Publication of structured, semantically annotated SDMX documents
20 -* Presentation of prepared semantic models for expert review and discussion
17 +**Focus: Labour Statistics**
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22 -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.
19 +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 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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24 -[Explore our Semantic SDMX section →] [[~[~[image:Labour Market Button.png~|~|height="52" width="185"~]~]>>doc:working:Main.WebHome]]
21 +This process results in linked open statistical data and [[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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23 +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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25 +[Explore our Semantic Labour Market section →] [[~[~[image:Labour Market Button.png~|~|height="52" width="185"~]~]>>doc:working:Main.WebHome]]
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26 26  {{box cssClass="box_green"}}
27 -**We invite partners to join the international, non-profit Interoperability Basis initiative and a shared semantic infrastructure**
28 +**Key Users**
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29 -* **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.
30 -* **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.
31 -* **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.
32 -* **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.
33 -* **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.
30 +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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35 -**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.**
32 +* **National Statistical Offices**
33 +* **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"]])
34 +* **Statistical Methodology Experts**
35 +* **Knowledge Management Teams**
36 36  {{/box}}
37 37  
38 38  We welcome contributors, domain experts, and partner organizations to help advance semantic interoperability.