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1. Visualization and validation of semantic models and LOSD sets. |
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1. Construction of rich metadata that is transmitted for publishing in external analytical systems. |
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-SKMS is based on the XWiki extension to using semantic technologies. It provides special templates for publishing documents, glossary terms, and indicator descriptions. They are used by domain experts to formalize statistical knowledge and provide their human-readable representation fixed in SAs. The LOSD pipeline is supported by generators and constructors developed to automate the formation of LOSD, semantic models and semantically enriched metadata. SKMS may be integrated with a cataloging service that supports not only the organisation of semantic assets, but also their visualization, access, and dissemination through standard interfaces such as [[OpenAPI>>https://www.openapis.org/||target="_blank"]] and [[SPARQL Endpoints>>https://sparql.dev/article/SPARQL_endpoints_and_how_to_use_them.html]]. |
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+SKMS is based on the XWiki extension to using semantic technologies. It provides special templates for publishing documents, glossary terms, and indicator descriptions. They are used by domain experts to formalize statistical knowledge and provide their human-readable representation fixed in SAs. The LOSD pipeline is supported by generators and constructors developed to automate the formation of LOSD, semantic models and semantically enriched metadata. SKMS may be integrated with a cataloging service that supports not only the organisation of semantic assets, but also their visualization, access, and dissemination through standard interfaces such as [[OpenAPI>>https://www.openapis.org/]] and [[SPARQL Endpoints>>https://sparql.dev/article/SPARQL_endpoints_and_how_to_use_them.html]]. |
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== Benefits == |
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