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From version 14.1
edited by Helena
on 2025/06/26 14:47
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To version 5.1
edited by Artur
on 2025/06/26 14:19
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1 +XWiki.arturkryazhev
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10 10  * Provide semantic assets for reuse to enhance the quality of linked data and metadata, improve comparability, and facilitate cross-domain integration.
11 11  * Foster collaboration between IT professionals and statistical experts to co-develop semantic models, aligning terminology and classifications, preparing informative indicators and LOSD sets descriptions to ensure their relevance, usability, and operational value.
12 12  
13 -{{box cssClass="box_green"}}
14 14  == SDMX Implementation ==
15 15  
16 16  International standards like Statistical Data and Metadata eXchange (SDMX) have provided a robust foundation for metadata exchange in official statistics. However, our experience has revealed significant limitations influencing the achievement of semantic interoperability. SKMS addresses these gaps by integrating SDMX structures into a semantic interpretation environment via the Interoperability Basis platform. The platform supports semantic alignment, enrichment, and publication of data exchange standards using a knowledge management system, modeling tools, namespace control, and persistent URI infrastructure.
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18 18  
17 +
19 19  == Linked Data ==
20 20  
21 21  The World Wide Web Consortium (W3C) recommends Linked Data as the most effective way to publish data on the Internet. Linked Data is developed according to the principles of the Semantic Web — a global semantic infrastructure and a set of fundamental rules for representing data on the Internet in a way that allows information systems to interpret its meaning correctly.
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54 54  
55 55  Combining international experience and our own research, SKMS provides a semantically rich interpretation environment for statistical institutions to:
56 56  
57 -* Enhance the quality of statistical data and metadata
58 -* Harmonize statistical terminology and classification
59 -* Align with FAIR principles
60 -* Ensure semantic interoperability and reuse
61 -* Facilitate accurate (meta)data interpretation
56 +•             Enhance the quality of statistical data and metadata
62 62  
58 +•             Harmonize statistical terminology and classification
59 +
60 +•             Align with FAIR principles
61 +
62 +•             Ensure semantic interoperability and reuse
63 +
64 +•             Facilitate accurate (meta)data interpretation
65 +
63 63  The use of SKMS brings the following benefits:
64 64  
65 -* Adoption of semantic modelling in statistical practice
66 -* Generation of semantically rich metadata and LOSD sets
67 -* Validation of results using visualization tools
68 +•             Adoption of semantic modelling in statistical practice
68 68  
70 +•             Generation of semantically rich metadata and LOSD sets
71 +
72 +•             Validation of results using visualization tools
73 +
69 69  == Key Users ==
70 70  
71 71  SKMS is designed to support a wide range of stakeholders engaged in the creation, management, dissemination, and use of statistical knowledge as well as the development of linked statistical data.
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85 85  The Semantic Knowledge Management System relies on a set of well-established Semantic Web standards and vocabularies:
86 86  
87 87  * **FOAF (Friend Of A Friend)** – a vocabulary of named properties and classes for describing people and their relationships, built using RDF and OWL.
88 -[[url:https://xmlns.com/foaf/spec/||target="_blank"]]
93 +https:~/~/xmlns.com/foaf/spec/
89 89  * **vCard (The Electronic Business Card)** – a data format for representing and exchanging contact information about individuals and organizations (e.g. for phonebooks or email clients).
90 -[[https:~~/~~/www.w3.org/TR/vcard-rdf/>>url:https://www.w3.org/TR/vcard-rdf/||target="_blank"]]
95 +[[https:~~/~~/www.w3.org/TR/vcard-rdf/>>url:https://www.w3.org/TR/vcard-rdf/]]
91 91  * **OWL (Web Ontology Language)** – a language for defining and linking ontologies, supporting formal descriptions of concepts, properties, and relationships in the Semantic Web.
92 -[[https:~~/~~/www.w3.org/OWL/>>url:https://www.w3.org/OWL/||target="_blank"]]
97 +[[https:~~/~~/www.w3.org/OWL/>>url:https://www.w3.org/OWL/]]
93 93  * **Dublin Core™ Metadata Initiative (DCMI)** – a standard set of metadata terms used to describe a wide range of resources, including elements, encoding schemes, and syntax guidelines.
94 -[[https:~~/~~/www.dublincore.org/specifications/dublin-core/dces/>>https://https:www.dublincore.orgspecificationsdublin-coredces||target="_blank"]]
99 +https:~/~/www.dublincore.org/specifications/dublin-core/dces/
95 95  * **RDF 1.1 Concepts and Abstract Syntax** – the foundational knowledge representation model of the Semantic Web, defining how RDF data is structured using triples.
96 -[[https:~~/~~/www.w3.org/TR/rdf11-concepts/>>url:https://www.w3.org/TR/rdf11-concepts/||target="_blank"]]
101 +[[https:~~/~~/www.w3.org/TR/rdf11-concepts/>>url:https://www.w3.org/TR/rdf11-concepts/]]
97 97  * **RDFS (RDF Schema 1.1)** – a vocabulary extension to RDF, providing classes and properties for defining basic ontologies and structuring RDF resources.
98 -[[https:~~/~~/www.w3.org/TR/rdf-schema/>>url:https://www.w3.org/TR/rdf-schema/||target="_blank"]]
103 +[[https:~~/~~/www.w3.org/TR/rdf-schema/>>url:https://www.w3.org/TR/rdf-schema/]]
99 99  * **RDF Data Cube Vocabulary** – a W3C vocabulary for publishing multidimensional statistical data in RDF, compatible with the SDMX cube model.
100 -[[https:~~/~~/www.w3.org/TR/vocab-data-cube/>>url:https://www.w3.org/TR/vocab-data-cube/||target="_blank"]]
105 +[[https:~~/~~/www.w3.org/TR/vocab-data-cube/>>url:https://www.w3.org/TR/vocab-data-cube/]]
101 101  * **SDMX (Statistical Data and Metadata Exchange)** – an international standard for the exchange of statistical data and metadata, supported by key statistical organizations.
102 -[[https:~~/~~/sdmx.org/>>url:https://sdmx.org/||target="_blank"]]
107 +[[https:~~/~~/sdmx.org/>>url:https://sdmx.org/]]
103 103  * **SKOS (Simple Knowledge Organization System)** – a W3C standard for representing knowledge organization systems such as thesauri, taxonomies, and classifications.
104 -[[https:~~/~~/www.w3.org/TR/skos-reference/>>url:https://www.w3.org/TR/skos-reference/||target="_blank"]]
109 +[[https:~~/~~/www.w3.org/TR/skos-reference/>>url:https://www.w3.org/TR/skos-reference/]]
105 105  * **SKOS-XL (SKOS eXtension for Labels)** – an extension of SKOS that allows for richer descriptions and relationships between lexical labels.
106 -[[https:~~/~~/www.w3.org/TR/skos-reference/skos-xl.html>>url:https://www.w3.org/TR/skos-reference/skos-xl.html||target="_blank"]]
111 +[[https:~~/~~/www.w3.org/TR/skos-reference/skos-xl.html>>url:https://www.w3.org/TR/skos-reference/skos-xl.html]]
107 107  * **XKOS (SKOS extension for statistical classifications)** – a vocabulary extending SKOS for describing statistical classifications and code lists, jointly developed by INSEE and Eurostat.
108 -[[https:~~/~~/rdf-vocabulary.ddialliance.org/xkos.html>>url:https://rdf-vocabulary.ddialliance.org/xkos.html||target="_blank"]]
113 +https:~/~/rdf-vocabulary.ddialliance.org/xkos.html
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