203
results
  • sto - i40 Standards Lanscape Vocabulary
    https://w3id.org/i40/sto#
    A vocabulary to describe the relation between standards in use on the Industry 4.0, and related concepts @en
  • ishi - Ishikawa diagram ontology
    https://w3id.org/ishikawa-diagram-ontology
    The Ishikawa ontology aims to provide a data and view model to manage data encoded in Ishikawa diagrams which are also known as fishbone or cause and effect diagram (CED). Ishikawa diagrams result from (iterative) workshops. Thus, the ontology includes the basic modelling of workshops to create Ishikawa diagrams. @en
  • mdo-calc - Materials Design Ontology - Calculation Module
    https://w3id.org/mdo/calculation/
    This is the calculation module of Materials Design Ontology. @en
  • core - Materials Design Ontology - Core Module
    https://w3id.org/mdo/core/
    This is the core module in Materials Design Ontology. @en
  • mdo - Materials Design Ontology - Full
    https://w3id.org/mdo/full/
    This is the Materials Design Ontology. @en
  • nen2660 - NEN 2660-2:2022 'Rules for information modelling of the built environment - Part 2: Practical configuration, extension and implementation of NEN 2660-1''
    https://w3id.org/nen2660/
    Ontology which is a normative part of the Dutch NEN 2660-2 standard @en
  • mdo-struc - Materials Design Ontology - Structure Module
    https://w3id.org/mdo/structure/
    This is the structure module in Materials Design Ontology. @en
  • loin - Level of Information Need (LOIN) Ontology
    https://w3id.org/loin
    The Level of Information Need (LOIN) Ontology is defined for specifying information requirements for delivery of data in a buildings' life cycle. The LOIN ontology is based on the standard BS EN 17412-1 (2020). Furthermore, it is extended with vocabulary for connecing Information Delivery Specifications (IDS) and Information containers for linked document delivery (ICDD) as per ISO 21597-1 (2020). @en
  • ontouml - OntoUML Metamodel Vocabulary
    https://w3id.org/ontouml
    A reference implementation of the OntoUML metamodel in OWL. @en
  • sdom - The Software Description Ontology for Models
    https://w3id.org/okn/o/sdm
    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
  • sdont - The Software Description Ontology
    https://w3id.org/okn/o/sd
    An ontology for describing software and their links to inputs, outputs and variables. The ontology extends schema.org and codemeta vocabularies @en
  • okh - Open Know How (OKH) ontology
    https://w3id.org/oseg/ont/okh
    Used for indexing, searching and comparing Open Source Hardware projects @en
  • nno - The Neural Network Ontology
    https://w3id.org/nno/ontology
    This is the Neural Network Ontology. Designed by the AIFB (http://www.aifb.kit.edu/web/Web_Science) @en
  • seasd - The SEAS Device ontology
    https://w3id.org/seas/DeviceOntology
    The SEAS Device ontology defines `seas:Device` as physical system that are designed to execute one or more procedures that involve the physical world. @en
  • seas-eval - The SEAS Evaluation ontology
    https://w3id.org/seas/EvaluationOntology
    The Evaluation ontology describes evaluation of [`seas:Property`ies](https://w3id.org/seas/Property). There may be: - direct evaluations, or - qualified evaluations. @en