Risk Data Ontology

From Open Risk Manual


A Risk Model Ontology denotes any framework that aims to represent and categorize knowledge about risk data using semantic information technologies. This article documents a specific Risk Data Ontology (RDO) as embedded and used in the Open Risk Manual and associated Open Source Projects.

The RDO Ontology aims to be an interface between the domain of Risk Management, in particular Quantitative Risk Management and more generic / detailed data ontologies. A Risk Data Ontology is a component of Risk Data Standards



Classes (owl:Class) are the main concepts handled by the RDO ontology. The choice of classes defines the scope of this knowledge domain.

  • Risk Data, is the core class that is the subject of the ontology, with its four core components:
    • DataSchema, is the conceptual definition of the data model
    • DataInstance is a concrete service providing access to risk data (e.g. a disk filesystem, a database or a webservice)

Object Properties

Object properties (owl:ObjectProperty) relates individual instances of two OWL classes.

Datatype Properties

Datatype properties (owl:DatatypeProperty) relates individuals (instances) of OWL classes to literal values.

Risk Data Ontology

In the context of the RDO Risk Model Ontology this entry constitutes an annotation of the Ontology itself

Related Data Ontologies

Risk data, being a specific type of data are already covered by a range of well developed ontologies that cover data governance, data modelling etc

  • The DCAT vocabulary, an RDF vocabulary designed to facilitate interoperability between data catalogs published on the Web
  • The Data Cube vocabulary enabling the publishing of multi-dimensional data, such as statistics, on the web
  • SDMX, the global initiative to improve Statistical Data and Metadata eXchange
  • The PROV Ontology (PROV-O) expresses the PROV Data Model using the OWL2 Web Ontology Language (OWL2) [OWL2-OVERVIEW]. It provides a set of classes, properties, and restrictions that can be used to represent and interchange provenance information generated in different systems and under different contexts

More about W3C OWL

In principle any semantic technology can be the starting point for a risk model ontology. The Open Risk Manual adopts the W3C. The W3C Web Ontology Language (OWL) is a Semantic Web language designed to represent rich and complex knowledge about things, groups of things, and relations between things.

OWL is a computational logic-based language such that knowledge expressed in OWL can be exploited by computer programs, e.g., to verify the consistency of that knowledge or to make implicit knowledge explicit.

OWL documents, known as ontologies, can be published in the World Wide Web and may refer to or be referred from other OWL ontologies. OWL is part of the W3C’s Semantic Web technology stack, which includes RDF, RDFS, SPARQL, etc

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Facts about "Risk Data Ontology"
URI of an entity that is defined via an imported vocabulary.
https://www.openriskmanual.org/ns/rdo.0.1.owl +