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8 8  Despite this progress, the number of LD datasets in critical domains such as economics, statistics, and finance remain limited. Our research reveals several systemic barriers:
9 9  
10 -* **Paradigm mismatch**: Modern data 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 an object-oriented paradigm, which is not inherently compatible with Semantic Web principles.
10 +* **Paradigm mismatch**: Modern data 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 [[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 an object-oriented paradigm, which is not inherently compatible with Semantic Web principles.
11 11  * **Lack of identifiers**: Widely used classifications and reference systems are typically published as tables, codelists, and hierarchies without persistent identifiers ([[URIs>>https://www.w3.org/Addressing/URL/uri-spec.html||rel="noopener noreferrer" target="_blank"]]), making integration in a Linked Data environment difficult.
12 12  * **URI persistence issues**: There is limited support for persistent URIs for elements of standards, classifications, and references, as well as poor handling of URI dereferencing, which reduces the long-term usability of data.
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34 34  
35 35  We invite partners to join us in the collaborative development of the //**Interoperability Basis**// international initiative:
36 36  
37 -* **International organizations**: institutions developing and maintaining data standards (e.g., [[SDMX>>url:https://sdmx.org/]], [[SIMS>>url:https://ec.europa.eu/eurostat/documents/64157/4373903/SIMS-2-0-Revised-standards-November-2015-ESSC-final.pdf/47c0b80d-0e19-4777-8f9e-28f89f82ce18]], [[XBRL>>url:https://www.xbrl.org/]], [[DDI>>url:https://ddialliance.org/]], [[NIEM>>url:https://www.niem.gov/]])
38 -** (((
39 -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.
40 -)))
41 -* **Governments and public administrations**: state institutions seeking to improve data transparency, openness, and interoperability in public sector data and metadata
42 -** (((
43 -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.
44 -)))
45 -* **Enterprises**: organizations focused on building corporate ecosystems based on semantic core to implement innovative semantic applications, web services, and data integration solutions
46 -** (((
47 -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
48 -)))
49 -* **Academic and research institutions**: universities and research centers working on semantic technologies and knowledge management across various domains
50 -** (((
51 -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
52 -)))
53 -* **Semantic Web technology developers**: experts creating tools and platforms for working with [[RDF>>url:https://www.w3.org/RDF/]], [[OWL>>url:https://www.w3.org/OWL/]], [[SPARQL>>url:https://www.w3.org/TR/sparql11-overview/]], and other linked data technologies
54 -** (((
55 -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.
56 -)))
37 +* **Data standardization organizations**: international and national institutions developing and maintaining data standards (e.g., [[SDMX>>url:https://sdmx.org/||rel="noopener noreferrer" target="_blank"]], [[SIMS>>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"]], [[XBRL>>url:https://www.xbrl.org/||rel="noopener noreferrer" target="_blank"]], [[DDI>>url:https://ddialliance.org/||rel="noopener noreferrer" target="_blank"]], [[NIEM>>url:https://www.niem.gov/||rel="noopener noreferrer" target="_blank"]]).
38 +* **Semantic Web technology developers**: experts creating tools and platforms for working with [[RDF>>url:https://www.w3.org/RDF/||rel="noopener noreferrer" target="_blank"]], [[OWL>>url:https://www.w3.org/OWL/||rel="noopener noreferrer" target="_blank"]], [[SPARQL>>url:https://www.w3.org/TR/sparql11-overview/||rel="noopener noreferrer" target="_blank"]], and other linked data technologies.
39 +* **Academic and research institutions**: universities and research centers working on semantic technologies and knowledge management across various domains.
40 +* **IT companies and developers**: organizations focused on building innovative semantic applications, web services, and data integration solutions.
41 +* **Governmental and international agencies**: institutions seeking to improve data transparency, openness, and interoperability in public sector data.
57 57  
58 58  == Stakeholders ==
59 59