KBpedia is a comprehensive knowledge structure for promoting data interoperability and knowledge-based artificial intelligence, or KBAI. The KBpedia knowledge structure combines seven 'core' public knowledge bases — Wikipedia, Wikidata, schema.org, DBpedia, GeoNames, OpenCyc, and UMBEL — into an integrated whole. KBpedia's upper structure, or knowledge graph, is the KBpedia Knowledge Ontology. We base KKO on the universal categories and knowledge representation theories of the great 19th century American logician, polymath and scientist, Charles Sanders Peirce.

Thot - Thesauri & Ontology for documenting Ancient Egyptian Resources

"(...) the Department of Egyptology of the University of Liege, in collaboration with the Berlin-Brandenburg Academy of Sciences and the Saxon Academy of Sciences in Leipzig (Thesaurus Linguae Aegyptiae), is now developing Thot, a set of resources for documenting and encoding ancient Egyptian resources in a shared, interoperable approach.


"L’ontologia Cultural-ON, realizzata nell’ambito di una Convenzione tra il MIBACT e l’Istituto di Scienze e Tecnologie della Cognizione del Consiglio Nazionale delle Ricerche (ISTC-CNR), ha lo scopo di modellare i dati che caratterizzano gli istituti e i luoghi della cultura, come ad esempio i dati sugli enti o sulle persone che hanno un determinato ruolo sugli istituti e luoghi della cultura, le sedi fisiche dei luoghi, i contatti, eventuali materiali multimediali che descrivono un istituto e luogo della cultura e ogni altra informazione utile al pubblico per poter accedere all’istituto

"The ontology aims at modelling the data on cultural institutes or sites such as data regarding the agents that play a specific role on cultural institutes or sites, the sites themselves, the contact points, all multimedia files which describe the cultural institute or site and any other information useful to the public in order to access the institute or site. Moreover, the ontology represents events that can take place in specific cultural institutes or sites. The following figure illustrates some of the core elements of the ontology.

NPG Severity Levels Ontology

"The SeverityLevels Ontology is a modelling of the syslog message severity values from RFC 5424. (...) This is used in conjunction with the SPIN vocabulary to label exceptions that we may create in our build process. This process makes extensive use of SPIN rules. Validation tests are applied to a given data model via a SPARQL construct query and any exceptions raised are added to the :Graph object associated to a class. This :Graph object is used to add RDF annotations about the class instance named graph."

NPG Publish States Ontology

"The PublishStates Ontology is a categorization of the various states that mark the publishing status of a publication. In particular, these indicate stages in the publishing workflow. For example, a siginificant state change for an online article publication occurs when it is bound to an issue publication, whereby it transitions from an earlier 'Advance online publication' state to an 'Issue publication' state. These state changes are managed by publish-event objects which capture both the publish-state and the date (or datetime) at which this event occurs."