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  • 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
  • foo - Forest Observatory Ontology (FOO)
    https://w3id.org/def/foo#
    This ontology describes wildlife observations generated by sensors. @en
  • dseco - The DNS Security Ontology
    https://w3id.org/dseco/ontology/
    The DNS Security Ontology (DSecO) project is a data model for representing and reasoning on Domain Name System (DNS) data. The ontology is developed using web technologies (e.g. RDF, OWL, SKOS) and is intended as a structure for realizing a DNS Knowledge Graph (KG) for administration and security assessment applications. The model has been developed in collaboration with operational teams, and in connection with third parties linked vocabularies. Alignment with third parties vocabularies is implemented on a per class or per property basis when relevant (e.g. with `rdfs:subClassOf`, `owl:equivalentClass`). Directions for direct instanciation of these vocabularies are provided for cases where implementing a class/property alignment is redundant. Alignment holds for the following vocabulary releases: - [ORG](https://www.w3.org/TR/vocab-org/) 0.8 - [UCO](https://github.com/ucoProject/uco) Release-0.8.0 @en
  • ecfo - The Emission Conversion Factor Ontology
    https://w3id.org/ecfo
    This ontology defines a vocabulary for describing carbon emission conversion factors (CF). These are values typically used to calculate carbon emissions where the CF multiplies a quantified estimate of the energy (e.g., kWh of electricity, litters of fuel, etc.) used by a particular activity. @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
  • iadopt - I-ADOPT Framework ontology
    https://w3id.org/iadopt/ont
    The I-ADOPT Framework ontology @en
  • ctrl - CTRLont - An ontology to formally specify the control domain
    https://w3id.org/ibp/CTRLont
    CTRLont specifies concepts and relationships of control actors on a high level @en
  • ids - IDS Information Model
    https://w3id.org/idsa/core
    This ontology defines classes and properties for describing participants, infrastructure, data and services of the International Data Spaces (formerly known as Industrial Data Space). @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
  • 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
  • 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