OWL

Cultural-ON

"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.

http://dati.beniculturali.it/cultural-ON/ENG.html

The Vagueness Ontology

"Vagueness is a common human knowledge and language phenomenon, typically manifested by terms and concepts like High, Expert, Bad, Near, etc. It is a phenomenon related to our inability to precisely determine the extensions of such concepts in certain domains and contexts. That is because vague concepts have typically blurred boundaries which do not allow for a sharp distinction between the entities that fall within their extension and those that do no. For example, some people are borderline tall: not clearly 'tall' and not clearly 'not tall'.

http://www.essepuntato.it/2013/10/vagueness

Vocabulary of a Friend

"Un vocabulaire de description des vocabulaires RDF et de leurs relations mutuelle."

"VOAF is a vocabulary specification providing elements allowing the description of vocabularies (RDFS vocabularies or OWL ontologies) used in the Linked Data Cloud. In particular it provides properties expressing the different ways such vocabularies can rely on, extend, specify, annotate or otherwise link to each other. It relies itself on Dublin Core and voiD. The name of the vocabulary makes an explicit reference to FOAF because VOAF can be used to define networks of vocabularies in a way similar to the one FOAF is used to define networks of people."

http://lov.okfn.org/vocommons/voaf/

Vocabulary Of Attribution and Governance

"VOAG stands for 'Vocabulary Of Attribution and Governance'. The ontology is intended to specify licensing, attribution, provenance and governance of an ontology. VOAG captures many common license types and their restrictions. Where a license requires attribution, VOAG provides resources that allow the attribution should be made. Provenance is defined in terms of source and pedigree. A miminal model of governance is provided based on how issues, releases and changes are managed.

http://linkedmodel.org/doc/voag/1.0/

The Workflow Motif Ontology

"Scientific workflows have been increasingly used in the last decade as an instrument for data intensive science. Workflows serve a dual function: first, as detailed documentation of the scientific method used for an experiment (i. e. the input sources and processing steps taken for the derivation of a certain data item), and second, as re-usable, executable artifacts for data-intensive analysis.

http://purl.org/net/wf-motifs

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