Linked Open Data Vocabularies

vocabularyCreated on May 23rd, 2018

Linked Open Data vocabularies that do not belong to a specific organization.

Members

This is a simplification of some parts of the DOLCE Lite-Plus library (cf.http://www.ontologydesignpatterns.org/ont/dul/DLP397.owl). Main aspects in which DOLCE+DnS Ultralite departs from DOLCE Lite-Plus are the following:

  • The names of classes and relations have been made more intuitive
  • The DnS-related part is closer to the newer 'constructive DnS' ontology (http://www.ontologydesignpatterns.org/ont/dul/cDnS.owl).
  • Temporal and spatial relations are simplified
  • Qualities and regions are more relaxed than in DOLCE-Full: they can be used as attributes of any entity, although two axioms state that each quality has a region and viceversa
  • Axiomatization makes use of simpler constructs than DOLCE Lite-Plus
  • The architecture of the ontology is pattern-based, which means that DOLCE+DnS Ultralite is also available in modules, called 'content ontology design patterns', which can be applied independently in the design of domain ontologies (cf. http://www.ontologydesignpatterns.org). If many modules are needed in a same ontology project, it is anyway useful to use this integrated version.

The final result is a lightweight, easy-to-apply foundational ontology for modeling either physical or social contexts.

Several extensions of DOLCE+DnS Ultralite have been designed; see for example the extensions for information objects, for systems, for plans, for the legal domain, and for the lexical and semiotic domains; etc.

Namespace: http://www.ontologydesignpatterns.org/ont/dul/DUL.owl# (alias: dul)

This vocabulary was originally openly-editable at http://open.vocab.org/. The editing interface has been retired and this data dump published in its place.

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Ontology to describe person, location etc. observations in archival resources. One or multiple observations can be bundled into a reconstruction that combines complementary (or sometimes conflicting) information from the observation(s) so that a single entity is reconstructed out of several entity observations from one or multiple sources.

An RDF vocabulary for relating SW vocabulary terms to their status.

A vocabulary about music keys and chords.