The AtomOWL ontology is inspired from the work done by the atom working group. This ontology is working off the rfc 4287 published among othe places at http://www.atompub.org/rfc4287.html . The AtomOWL ontology uses as much as possible the same terms as the format there to make the relation easy to understand. The AtomOWL name space is slightly different from the atom namespace [see post http://www.imc.org/atom-syntax/mail-archive/msg16476.html]. But this is a good thing as it helps distinguish the ontology from the rfc 4287 serialisation. @en
va- The Visual Analytics Vocabulary
http://code-research.eu/ontology/visual-analytics
This vocabulary allows the semantic description of visual analytics applications. It is based on the RDF Data Cube Vocabulary and the Semanticscience Integrated Ontology. @en
ccp- Vocabulary for prices options in Cloud Computing Services
http://cookingbigdata.com/linkeddata/ccpricing
Simple and direct pricing ontology for Cloud Computing Services. This ontology allows to define model of prices used in large cloud computing providers such as Amazon, Azure, etc., including options for regions, type of instances, prices specification, etc. @en
ccsla- Service Level Agreement for Cloud Computing
http://cookingbigdata.com/linkeddata/ccsla
Service Level Agreement for Cloud Computing Services. This ontology allows to define model of SLA/SLO used in large cloud computing providers such as Amazon, Azure, etc., including terms, claims, credit, compensations, etc @en
pni- SNaP Identifier Ontology
http://data.press.net/ontology/identifier/
The Identifier Ontology models non-RDF based Identifiers for resources. It is used to maintain a mapping between RDF resources identifiers and their equivalent IDs in an alternate, non-RDF based domain. @en
graphql- GraphQL Vocabulary
http://datashapes.org/graphql
A vocabulary to annotate RDF schemas (in particular SHACL shapes) with metadata to define mappings to GraphQL. @en
cis- Cultural-ON (Cultural ONtology): Cultural Institute/Site and Cultural Event Ontology
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. @en
This ontology establishes classes corresponding to stereotypes used in ISO-conformant models, as used in the rules for conversion of the ISO TC 211 Harmonized Model from the UML to OWL representations @en
An OWL representation of the Sampling Features Schema described in clauses 8-10 of ISO 19156:2011 Geographic Information - Observations and Measurements. @en
li- OWL representation of ISO 19115 (Geographic Information - Metadata - Lineage package)
An OWL representation of (some of) the basic types described in ISO 19103:2005, required as primitives in other ontologies based on ISO 19100 series standards @en
op- Observable properties
http://environment.data.gov.au/def/op
A general purpose ontology for observable properties. The ontology supports description of both qualitative and quantitative properties. The allowed scale or units of measure may be specified. A property may be linked to substances-or-taxa and to features or realms, if they play a role in the definition. @en
r4r- Relations for Reusing (R4R) Ontology
http://guava.iis.sinica.edu.tw/r4r
R4R is a light-weight ontology for representing general relationships of resource for publication and reusing. It asserts that a certain reusing context occurred and determined by its two basic relations, namely, isPackagedWith and isCitedBy. The isPackagedWith relation declares the resource is ready to be reused by incorporating License and Provenance information. The Cites relation is an exceptional to isCitedBy which occurs only two related objects cite each other at the same time. Five resource objects including article, data, code, provenance and license are major class concepts to represent in this ontology.
The namespace for all R4R terms is http://guava.iis.sinica.edu.tw/r4r/ @en
hr- hRESTS Ontology
http://iserve.kmi.open.ac.uk/ns/hrests
hRESTS is a vocabulary for describing RESTful Web services @en