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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
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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
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A metadata vocabulary for describing comic books and comic book collections. @en
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The EUropean Research Information Ontology (EURIO) conceptualises, formally encodes and makes available in an open, structured and machine-readable format data about resarch projects funded by the EU's framework programmes for research and innovation. @en
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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
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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
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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
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An OWL vocabulary for describing uncertainty metadata. @en
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The Ontology for Biomedical Investigations (OBI) is build in a collaborative, international effort and will serve as a resource for annotating biomedical investigations, including the study design, protocols and instrumentation used, the data generated and the types of analysis performed on the data. This ontology arose from the Functional Genomics Investigation Ontology (FuGO) and will contain both terms that are common to all biomedical investigations, including functional genomics investigations and those that are more domain specific. @en
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The Dublin Core Metadata Element Set is a vocabulary of fifteen properties for use in resource description. The name "Dublin" is due to its origin at a 1995 invitational workshop in Dublin, Ohio; "core" because its elements are broad and generic, usable for describing a wide range of resources. @en
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an up-to-date specification of all metadata terms maintained by the Dublin Core Metadata Initiative, including properties, vocabulary encoding schemes, syntax encoding schemes, and classes. @en
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The Collections Ontology (CO) defines unordered collections (Set and Bag) and ordered collections (or List). This ontology has been inspired by the work "Putting OWL in Order: Patterns for Sequences in OWL" by Drummond et al. (OWL-ED 2006). @en
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This ontology is being developed by CSIRO under the eReefs project for describing data provider nodes, web services available and datasets that are hosted by them. This ontology features a module for describing Datasets. It does not however describe geospatial, temporal, organisational or domain concepts as these are intended to be included from other ontologies via the imports statement. Other modules complementary to the DPN ontology are http://purl.org/dpn/dataset and http://purl.org/dpn/services. This version aligns DCAT and DC terms and imports DPN services. @en
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Vocabulary to include sample codes in a schema. Can work with XSLT (http://purl.org/net/ns/ns-schema.xsl) to present schema as XHTML list with examples. @en
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Vocabulary to define some annotation properties as subproperties of common Dublin Core terms @en