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  • cem - Crime Event Model (CEM)
    https://w3id.org/CEMontology
    The Crime Event Model is an ontology for the representation of crime events extracted from local newspapers. It could be employed for Crime Analysis purposes: extracting crime information from newspapers and enriching them with proper machine-readable semantics is a critical task to help law enforcement agencies at preventing crime, supporting criminal investigations and evaluating the action of law enforcement agencies themselves. The model is based on the fundamental 5W1H journalistic questions, that are Who?, What?, When?, Where?, Why? and How?. Another important requirement was the attempt to exploit existing knowledge graphs and ontologies such as the Simple Event Model (SEM) Ontology and the Schema.org data model for interoperability and interconnection. @en
  • hht - Historical Hierarchical Territories
    https://w3id.org/HHT
    The notion of territory plays a major role in human and social sciences. In an historical context, most approaches are irrelevant as they rely on geometric data, which is not available. In order to represent historical territories,we conceived the HHT ontology (Hierarchical Historical Territory) to represent hierarchical historical territorial divisions, without having to know their geometry. This approach relies on a notion of building blocks to replace polygonal geometry @en
  • a-loc - Location Ontology (ArCo network)
    https://w3id.org/arco/ontology/location
    The module Location models information related to the localization and georeferencing of a cultural property. In this module are used as template the following Ontology Design Patterns: - http://www.ontologydesignpatterns.org/cp/owl/collectionentity.owl - http://www.ontologydesignpatterns.org/cp/owl/classification.owl - http://www.ontologydesignpatterns.org/cp/owl/place.owl - http://www.ontologydesignpatterns.org/cp/owl/timeindexedsituation.owl - http://www.ontologydesignpatterns.org/cp/owl/situation.owl @en
  • cevent - Cultural Event Ontology (ArCo network)
    https://w3id.org/arco/ontology/cultural-event
    The Cultural Event module models cultural events, i.e. events involving cultural properties. @en
  • foo - Forest Observatory Ontology (FOO)
    https://w3id.org/def/foo#
    This ontology describes wildlife observations generated by sensors. @en
  • dot - Damage Topology Ontology
    https://w3id.org/dot#
    Ontology that defines the topology of damages in constructions. @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
  • bdi - Belief-Desire-Intention Ontology
    https://w3id.org/fossr/ontology/bdi/
    The BDI Ontology provides a formal framework to model the Belief-Desire-Intention (BDI) architecture for rational agents. It defines key mental states—Beliefs, Desires, and Intentions—and their relationships, capturing the agent’s reasoning, motivation, and commitment to action. Supporting classes include Propositions (content of mental states), Justifications (rationale for mental states), Plans (action sequences for goals), and TimeIntervals (temporal validity of entities). Key properties like hasBelief, hasDesire, and hasIntention link agents to mental states, while fulfills, adoptsIntention, and motivatesDesire model dynamic interactions. Temporal properties enable reasoning about time-sensitive states and plans. Axioms ensure consistency, such as disjointness between mental states and domain-specific constraints. This ontology supports reasoning, querying, and analysis of agent behaviour, enabling applications in AI, multi-agent systems, and decision support. @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
  • iadopt - I-ADOPT Framework ontology
    https://w3id.org/iadopt/ont
    The I-ADOPT Framework ontology @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
  • opm - OPM: Ontology for Property Management
    https://w3id.org/opm
    The Ontology for Property Management (OPM) extends the concepts introduced in the Smart Energy Aware Systems (SEAS) Evaluations ontology. @en
  • opti - Offshore Wind Power Platform Ontology for OPTiMAR
    https://w3id.org/optimar
    This ontology describes the components, failures, sensors, and events related to offshore wind platforms. @en
  • seasd - The SEAS Device ontology
    https://w3id.org/seas/DeviceOntology
    The SEAS Device ontology defines `seas:Device` as physical system that are designed to execute one or more procedures that involve the physical world. @en
  • foio - The SEAS Feature of Interest ontology.
    https://w3id.org/seas/FeatureOfInterestOntology
    This ontology defines feature of interest and their properties, as an extension of the core classes of the SSN ontology (https://www.w3.org/ns/ssn/). A feature of interest is an abstraction of a real world phenomena (thing, person, event, etc). A feature of interest is then defined in terms of its properties, which are qualifiable, quantifiable, observable or operable qualities of the feature of interest. Alignments to other ontologies are proposed in external documents: - [SSNAlignment](https://w3id.org/seas/SSNAlignment) proposes an alignment to the [SSN ontology](http://www.w3.org/ns/ssn/). - [QUDTAlignment](https://w3id.org/seas/QUDTAlignment) proposes an alignment to the [QUDT ontology](http://qudt.org/). @en