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An ontology for describing software and their links to inputs, outputs and variables. The ontology extends schema.org and codemeta vocabularies @en
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The Software Description Ontology for Models (SDM) expands the software description ontology (SD) to add information about scientific software models. Examples of scientific software models are hydrology models, agriculture models or economy models. @en
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A reference implementation of the OntoUML metamodel in OWL. @en
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Used for indexing, searching and comparing Open Source Hardware projects @en
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The process execution ontology is a proposal for a simple extension of both the [W3C Semantic Sensor Network](https://www.w3.org/TR/vocab-ssn/) and the [Semantic Actuator Network](https://www.irit.fr/recherches/MELODI/ontologies/SAN.owl) ontology cores. @en
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The Procedural Knowledge Ontology (PKO) addresses the Procedural Knowledge (PK) domain, and models procedures, their executions, and related resources and agents. @en
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An ontology to model accountability of AI systems which use machine learning. @en
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An ontology to model accountability of generic systems. @en
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The Evaluation ontology describes evaluation of [`seas:Property`ies](https://w3id.org/seas/Property). There may be: - direct evaluations, or - qualified evaluations. @en
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This ontology defines common evaluation interpretation concepts for statistics. @en
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An ontology to describe a Semantic-Web Machine Learning System (SWeMLS) @en
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The TIDO ontology can be used to describe the decision processes within the threat intelligence domain @en
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A hypermedia specification for fragmenting collections. @en
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The goal is to represent the tribological experiments by relaying on the representation included in the core,, sample and equipment modules. @en
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The goal of this module is to represent the common classes, and object and data properties included in two or more modules of the TribOnt ontology. @en