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  • 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
  • An ontology to capture the staggering diversity of polymeric materials and their applications. @en
  • 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
  • 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
  • The Cognitive Characteristics Ontology specification provides a vocabulary for describing cognitive pattern within contexts, their temporal dynamics and their origins, on/ for the Semantic Web. @en
  • The Weighted Interests Vocabulary specification provides basic concepts and properties for describing describing preferences (interests) within contexts, their temporal dynamics and their origin on/ for the Semantic Web. @en
  • Vocabulary to describe fridges and freezers @en
  • This is an ontology representation of the generic features defined by Climate and Forecast (CF) standard names vocabulary (http://cf-pcmdi.llnl.gov/documents/cf-standard-names/), maintained by the Program for Climate Model Diagnosis and Intercomparison (http://cf-pcmdi.llnl.gov/ ) which is intended for use with climate and forecast data, in the atmosphere, surface and ocean domains. @en
  • This is an ontology representation of the climatic data variables defined by Climate and Forecast (CF) standard names vocabulary (http://cf-pcmdi.llnl.gov/documents/cf-standard-names/), maintained by the Program for Climate Model Diagnosis and Intercomparison (http://cf-pcmdi.llnl.gov/ ) which is intended for use with climate and forecast data, in the atmosphere, surface and ocean domains. @en
  • This ontology is part of the Agriculture Meteorology example showcasing the ontology developed by the W3C Semantic Sensor Networks incubator group (SSN-XG). It is published here in order to generalize the potential usage and the alignment with other standardization efforts of the SSN ontology. @en
  • The COO provides a vocabulary for exposing available configuration options for car models. It allows indicating choices that can be made as well as compatibility, dependency, and inclusion information. The ontology imports and extends the GoodRelations ontology for e-commerce @en
  • An ontology to describe competences and human capabilities @en
  • A simple RDF vocabulary containing terms to facilitate the linking of genealogical data. @en
  • This is the Hydrogen Ontology (HOLY). HOLY is a domain ontology for describing the complex structure of hydrogen-based markets. HOLY contributes to the systemic modeling of the hydrogen domain with a focus on its value chain. Hence, it provides a foundation for retrieval, storage, and delivery of market insights. @en
  • One key use case for this ontology is to facilitate the matching of needs and innovations. @en