190
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  • dtw - WoTDT: The WoT Digital Twin Ontology.
    https://w3id.org/def/dtw#
    Digital Twin ontology used to define Digital Twins and Semantic Digital Twins and aggregations by dimensions using Web of Things. @en
  • dg - DINGO Ontology
    https://w3id.org/dingo/
    The DINGO ontology (Data Integration for Grant Ontology) defines the terms of the DINGO vocabulary and provides a machine readable extensible framework to model data relative to projects, funding, project and funding actors, and, notably, funding policies. It is designed to yield high modeling power and elasticity to cope with the huge variety in funding and project practices, which makes it applicable to many areas where funding is an important aspect: first of all research, but also the arts, cultural conservation, and many others. @en
  • hpont - The Heat Pump Ontology (HPOnt).
    https://w3id.org/hpont
    The Heat Pump Ontology (HPOnt) aims to formalize and represent all the relevant information of Heat Pumps. The HPOnt has been developed as part of the REACT project which has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement no. 824395. @en
  • eeo - Experimental Evaluation Ontology
    https://w3id.org/eeo
    An ontology to describe experiments, evaluations and their relation. @en
  • puv - Parameter Usage Vocabulary ontology
    https://w3id.org/env/puv
    A simple ontology which implements the Parameter Usage Vocabulary semantic model, as described at https://github.com/nvs-vocabs/P01 @en
  • eppl - The EP-Plan ontology
    https://w3id.org/ep-plan
    PROV extension for linking Plans and parts of plans to their respective executions. @en
  • chameo - CHAracterisation MEthodology Ontology
    https://w3id.org/emmo/domain/characterisation-methodology/chameo
    CHAMEO is a domain ontology designed to model the common aspects across the different characterisation techniques and methodologies. @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
  • iddo - The Interconnected Data Dictionary Ontology (IDDO)
    https://w3id.org/iddo
    The interconnected data dictionary ontology maps the data model of the ISO 23386 for the describing, creating, and maintenance of properties in interconnected data dictionaries. @en
  • icon - ICON Ontology
    https://w3id.org/icon/ontology/
    The ICON ontology deals with high granularity art interpretation. It was developed by conceptualizing Panofsky's theory of levels of interpretation, therefore artworks can be described according to Pre-iconographical, Iconographical and Iconological information. @en
  • aml - AutomationML Ontology
    https://w3id.org/i40/aml
    A vocabulary to represent the AutomationML Standard - IEC 62714 @en
  • ifc - IFC4_ADD1
    https://w3id.org/ifc/IFC4_ADD1
    OWL ontology for the IFC conceptual data schema and exchange file format for Building Information Model (BIM) data @en
  • mdo - Materials Design Ontology - Full
    https://w3id.org/mdo/full/
    This is the Materials Design Ontology. @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