ontology

SeverityLevels 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."

PublishStates 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."

ArticleTypes Ontology

"The ArticleTypes Ontology is a categorization of kinds of publication which are used to index and group content published on nature.com. This taxonomy is organised into a single tree using the SKOS vocabulary. It includes article-types that are directly applied to content, such as Article, Review Article, News, or Book Review plus higher-level groupings such as Research, News and Comment, or Amendments and Corrections. Categorization of content with the ArticleTypes Ontology is orthogonal to categorization with the Subjects Ontology."

ReviewStates Ontology

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

Minimum Information for A Phylogenetic Analysis

"The MIAPA ontology is intended to be an application ontology for the purpose of semantic annotation of phylogenetic data according to the requirements and recommendations of the Minimum Information for A Phylogenetic Analysis (MIAPA) metadata reporting standard. The ontology leverages (imports) primarily from the CDAO (Comparative Data Analysis Ontology), PROV (W3C Provenance Ontology), and SWO (Software Ontology, which includes the EDAM ontologies) ontologies.

Population and Community Ontology

"The Population and Community Ontology (PCO) describes material entities, qualities, and processes related to collections of interacting organisms such as populations and communities. It is taxon neutral, and can be used for any species, including humans. The classes in the PCO are useful for describing evolutionary processes, organismal interactions, and ecological experiments. Practical applications of the PCO include community health care, plant pathology, behavioral studies, sociology, and ecology.

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