XKOS v.1.0

 XKOS leverages the Simple Knowledge Organization System (SKOS) for managing statistical classifications and concept management systems, since SKOS is widely used. LOD is used to create Web artifacts that machines can interpret, so publishing machine-readable statistical classifications and other concept management systems as SKOS instances is desired. The XKOS developers found that SKOS was insufficient for the problem. No aspect of SKOS was found to be wrong, just incomplete. Therefore, an extension to SKOS, called XKOS, is proposed.

XKOS extends SKOS for the needs of statistical classifications. It does so in two main directions. First, it defines a number of terms that enable the representation of statistical classifications with their structure and textual properties, as well as the relations between classifications. Second, it refines SKOS semantic properties to allow the use of more specific relations between concepts. Those specific relations can be used for the representation of classifications or for any other case where SKOS is employed. XKOS adds the extensions that are desirable to meet the requirements of the statistical community. 

This is the first version of XKOS. The update on 2022-02-17 resulted in no changes in the text. HTML anchors were added in the vocabulary summary table so that terms could be referenced from outside documents (see commit d59ed90). 

• This XKOS Best Practices guide (a ReSpec document) provides examples of how to use the XKOS vocabulary. The expected uses of RDF properties are specified using SHACL constraints. You can see examples of the implementation of our nomenclatures in XKOS via INSEE's SPARQL EndPoint.
• Implementation in French: Codes et nomenclatures de l'Insee.
  
  

XKOS documentation
RDF Turtle file