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
ccr- Vocabulary for Regions and Zones on Cloud Computing
http://cookingbigdata.com/linkeddata/ccregions
Ontology for the definition of regions and zones of availability on CloudComputing platforms and services. This ontology allows to define model of regions used in large cloud computing providers such as Amazon, Azure, 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
cci- Ontology for Cloud Computing instances
http://cookingbigdata.com/linkeddata/ccinstances
Ontology for Cloud Computing Instances. Instance are classes of VM that comprise varying combinations of CPU, memory, storage, and networking capacity. This ontology allows to define the instantiation model of MVs used in large cloud computing providers such as Amazon, Azure, 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
li- OWL representation of ISO 19115 (Geographic Information - Metadata - Lineage package)
An OWL representation of parts of the Geographic Metadata model described in ISO 19115:2003 with Corrigendum 2006 - LI Package @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
kgc- KGRC Ontology
http://kgc.knowledge-graph.jp/ontology/kgc.owl
This vocabulary set can represent 5W1H (Who, What, When, Where, Why, How) in event (scene) descriptions. This file is also provided in Knowledge Graph Reasoning Challenge. @en
veo- Vehicle Emissions Ontology
http://linkeddata.finki.ukim.mk/lod/ontology/veo#
An ontology for describing vehicles and their emissions. @en
kees- KEES Ontology
http://linkeddata.center/kees/v1
KEES (Knowledge Exchange Engine Schema ) ontology describes a knowledge base configuration in terms of ABox and TBox statements together with their accrual and reasoning policies. This vocabulary is designed to drive automatic data ingestion in a graph database according KEES and Linked (Open) Data principles. @en
lsq- The Linked SPARQL Queries Vocabulary (LSQ(V))
http://lsq.aksw.org/vocab
The Linked SPARQL Queries Vocabulary (LSQ(V)), defined using RDF(S) and OWL, provides a machine readable vocabulary to help describe queries in SPARQL logs and their statistics. The vocabulary builds upon the SPIN vocabulary and the Service Description vocabulary. @en
txn- TaxonConcept Ontology
http://lod.taxonconcept.org/ontology/txn.owl
This ontology and the related TaxonConcept data set mints identifiers that are tied to a specific species concept which can have several names and classifications. @en
A Profile of the IEC Common Information Model for Smart Grids, developed by the Cerise-SG project. @en
edupro- EduProgression Ontology
http://ns.inria.fr/semed/eduprogression/
The EduProgression ontology formalizes the educational progressions of the French educational system, making possible to represent the existing progressions in a standard formal model, searchable and understandable by machines (OWL). @en
The ELSEWeb EDAC ontology describes datasets published by EDAC. This project provides foundational support for the ELSEWeb project(http://elseweb.cybershare.utep.edu/).
website: http://elseweb.cybershare.utep.edu/ontologies
email: nvillanuevarosales@utep.edu @en