120
results
How to
  • cdc - CDC: Construction Dataset Context ontology
    https://w3id.org/cdc
    The Construction Dataset Context (CDC) ontology is an extension of DCAT v2.0, a W3C Recommendation ontology for describing (RDF and non-RDF) datasets published on the Web. Using this extension, it becomes possible to describe a context for construction-related datasets that are being distributed using Web technology as well as datasets that are not shared outside an organization such as local copies, work in progress and other datasets that remain internal. This dataset metadata encompasses the temporal context (period or snapshot), the type of content of the dataset (as-built, design, etc.) and relations between contextualized datasets (previous as-built, requirements related to a design, etc.). In addition, this DCAT extension also provides terminology for managing dataset distributions that are scoped to a certain (named or default) graph of an RDF file or quadstore. @en
  • bcom - Building Concrete Monitoring Ontology (BCOM)
    https://w3id.org/bcom
    The Building Concrete Monitoring Ontology (BCOM) is defined for capturing information of concrete work, concrete curing and testing of concrete properties. Further Information on the development and usage of the Ontology can be found in the following publication: Liu et al. (2021): An ontology integrating as-built information for infrastructure asset management using BIM and semantic web. In: Proceedings of 2021 European Conference on Computing in Construction, Online eConference, URL: https://ec-3.org/publications/conferences/2021/paper/?id=167 @en
  • 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
  • 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
  • dot - Damage Topology Ontology
    https://w3id.org/dot#
    Ontology that defines the topology of damages in constructions. @en
  • dio - The Design Intent Ontology
    https://w3id.org/dio
    The scope of the DIO is the domain of design intent or design rationale that needs to be documented while undertaking the design of any artifact @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
  • emmo - Elementary Multiperspective Material Ontology (EMMO)
    https://w3id.org/emmo
    Elementary Multiperspective Material Ontology (EMMO) EMMO is a multidisciplinary effort to develop a standard representational framework (the ontology) based on current materials modelling knowledge, including physical sciences, analytical philosophy and information and communication technologies. It provides the connection between the physical world, materials characterisation world and materials modelling world. @en
  • fwo - Food Wastage Ontology
    https://w3id.org/foodwaste/ontology
    An ontology to model food donation logistics. @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
  • aml - AutomationML Ontology
    https://w3id.org/i40/aml
    A vocabulary to represent the AutomationML Standard - IEC 62714 @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
  • rami - rami - Reference Architecture Model
    https://w3id.org/i40/rami/
    A vocabulary which represents the Reference Architecture Model for Industry 4.0 (RAMI), including the concept of the Administration Shell I4.0 Component. @en
  • 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
  • core - Materials Design Ontology - Core Module
    https://w3id.org/mdo/core/
    This is the core module in Materials Design Ontology. @en