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  • rml-lv - RML Logical Views
    http://w3id.org/rml/lv/
    RML Logical Views flatten nested data, allow flexible joining of data sources, and handle mix source formats. @en
  • rml-star - RML-star
    http://w3id.org/rml/star/
    RML module for generating RDF-star graphs @en
  • roh - The ASIO ontology
    http://w3id.org/roh
    An ontology to address the Research Management of the CRUE's Spanish University System (Sistema Universitario Español) by applying an encompassing model not only capable of addressing the universities of the CRUE but also more belonging to the European Union. @en
  • ioc - IOC: Internet of Construction Ontology
    http://w3id.org/ioc
    The Internet of Construction Ontology (IoC) construction process ontology is intended to represent a comprehensive solution of how processes in the construction industry can be modelled. Due to the iterative nature of creating an ontology, the construction process ontology presented here can at best be considered a working state at the time of publication. Our approach emphasizes the simplest and most comprehensive mapping possible, which is only extended based on insights from practical use when otherwise compelling limitations in usability and applicability arise. Thus, the extension and refinement of the developed construction process ontology strongly depends on the integration of further areas of the construction value chain and the connection of further domain ontologies. @en
  • rml-fnml - RML-FNML
    http://w3id.org/rml/fnml/
    RML-FNML provides data transformations for generating knowledge graphs from (semi-)structured data @en
  • rml-io - RML-IO: Source and Target
    http://w3id.org/rml/io/
    RML-IO enables the description of input data sources and target output data serialization @en
  • experts - MAEO - MarketPlace Agent and Expert Ontology
    http://w3id.org/emmo-maeo/maeo
    The MarketPlace Agent and Expert Ontology (MAEO) is an ontology for modeling experts, expertise, and more broadly, knowledge providers and knowledge seekers for the subject areas of Materials Modeling. MAEO is an EMMO-compliant application ontology, and has been loosely aligned with a number of existing ontologies, including Friend-Of-A-Friend (FOAF) and five recently-developed EMMO-based domain ontologies for the classification of materials, models, manufacturing processes, characterization methods and software products related to Materials Modeling. @en
  • rml-cc - RML-Containers
    http://w3id.org/rml/cc/
    RML module to generate RDF collections and containers @en
  • rml - RML: Generic Mapping Language for RDF
    http://w3id.org/rml/core
    Generic Mapping Language for RDF (RDB/CSV/TSV/XML/JSON/... to RDF) - Vocabulary description @en
  • bato - Battery Testing Ontology
    http://w3id.org/emmo-bto/bto
    The Battery Testing Ontology (BTO) is an application-level ontology belonging to EMMO's ecosystem, meant to model battery testing methodologies and techniques, like the partial discharge test. BTO is connected and aligned with a number of EMMO-based ontologies, including CHAMEO, Battery Domain Ontology and Electrochemistry. @en
  • hpo - Hyperdimensional Polymer Ontology
    http://w3id.org/emmo-hpo/hpo
    An ontology to capture the staggering diversity of polymeric materials and their applications. @en
  • vocals - VoCaLS: A Vocabulary and Catalog for Linked Streams
    http://w3id.org/rsp/vocals#
    This ontology aims to model RDF streams, their metadata, and access endpoints for publishing and consuming these streams @en
  • vir - VIR - Visual Representation ontology
    http://w3id.org/vir#
    This ontology, called VIR, is an extension of CIDOC-CRM created to sustain propositions on the nature of visual elements and permit these descriptions to be published on the Web. With the term visual element, we refer to those signs identified in the visual space as distinct and documentable units, and subject to an analytical interpretation. The scope of this ontology is to s to provide a framework to support the identification, annotation and interconnections between diverse visual elements and presents and assist their documentation and retrieval. Specifically, the model aims to clarify the identity and the relation of these visual signs, providing the necessary classes to characterise their constituent elements, reference, symbolic content and source of interpretation. VIR expands on key entities and properties from CIDOC-CRM, introducing new classes and relationships responding to the visual and art historical community, specifically building up on the iconographical tradition. The result is a model which differentiates between interpretation and element identified, providing a clear distinction between denotation and signification of an element. As a consequence of such distinction, the ontology allows for the definition of diverse denotative criteria for the same representation, which could change based on traditions and perspective. Visual objects can be, in fact, polysemic and ambiguous, and it is not so easy to pin down a denotative or connotative meaning because they are very much context-dependent. @en
  • attack - MITRE ATT&CK Ontology
    http://w3id.org/sepses/vocab/ref/attack
    An ontology to represent MITRE ATT & CK. This ontology is developed based on the MITRE ATT & CK (https://attack.mitre.org/) @en
  • cbcm - The European Union Company Mobility Ontology (EUCM ontology)
    http://w3id.org/um/cbcm/eu-cm-ontology
    This ontology describes terms concerning companies, their cross-border movements within the European Union (EU), and associated EU company legislation. @en