This ontology is an evolution of IRE ontology. It describes identification of resources on the Web, through the definition of relationships between resources and their...

GDPRov is an OWL2 ontology to express provenance metadata of consent and data lifecycles towards documenting compliance for GDPR. @en

EARL is a vocabulary, the terms of which are defined across a set of specifications and technical notes, and that is used to describe test results. The primary motivation for...

The Data Quality Vocabulary (DQV) is seen as an extension to DCAT to cover the quality of the data, how frequently is it updated, whether it accepts user corrections,...

The Data Quality Management Vocabulary - An Ontology for Data Requirements Management, Data Quality Monitoring, Data Quality Assessment, and Data Cleansing @en

This RDF document contains a library of data quality constraints represented as SPARQL query templates based on the SPARQL Inferencing Framework (SPIN). The data quality...

An OWL representation of parts of the Geographic Metadata model described in ISO 19115:2003 with Corrigendum 2006 - DQ Package @en

Quality metrics can be (in principle) calculated on various forms of data (such as datasets, graphs, set of triples etc...). This vocabulary allow the owner/user of such RDF...

This vocabulary defines a set of terms for describing changes to resource descriptions. @en

Ontology for Certificates and crypto stuff. @en

This document specifies a vocabulary for asserting the existence of official endorsements or certifications of agents, such as people and organizations. @en

TAO is a light-weight vocabulary to describe asserted user’s subjective trust values. @en