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results
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The Delivery Context Ontology models the knowledge of the environment in which devices interact with the Web or other services @en
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A model for the representation of lexical information relative to ontologies. Decomposition module. @en
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LIME (LInguistic MEtadata) is a vocabulary for expressing linguistic metadata about linguistic resources and linguistically grounded datasets. @en
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A model for the representation of lexical information relative to ontologies. Core module. @en
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A model for the representation of lexical information relative to ontologies. Syntax and semantics module. @en
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A model for the representation of lexical information relative to ontologies. Variation and translation module. @en
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ML-Schema is a collaborative, community effort with a mission to develop, maintain, and promote standard schemas for data mining and machine learning algorithms, datasets, and experiments @en
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An ontology suitable for describing forms, sequences in widgets @en
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Defines aircraft models, aircraft systems / subsystems, and aircraft characteristics @en
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Decision-making is a process that can result in some decision and decision is a situation of indicating one of the considered options. Decision Ontology provides means for precise distinguishing and distinct treatment of these two aspects. @en
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A small ontology to model supply networks (supply chains) from all industries through products that are interlinked based on derivational dependencies. @en
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The Smart Appliances REFerence (SAREF) ontology is a shared model of consensus that facilitates the matching of existing assets (standards/protocols/datamodels/etc.) in the smart appliances domain. The SAREF ontology provides building blocks that allow separation and recombination of different parts of the ontology depending on specific needs. @en
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The Internet of Things taxonomy is extended with semantic ontologies for IoT layers, containing classes, properties, individuals, and rules specific to IoT technologies, tools, and applications @en
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OntoGSN is an ontology for managing assurance cases in the Goal Structuring Notation (GSN). The goal of the ontology is to help users in linking the elements of their cases - claims and evidence - with the internationalized resource identifiers (IRIs) of represented concepts, events and data, and in evaluating the validity of their argument. @en
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Ontology for the orchestration of the aerOS continuum. @en