77
results
How to
  • km4c - km4city, the DISIT Knowledge Model for City and Mobility
    http://www.disit.org/km4city/schema
    A Knowledge Model to describe a smart city, that interconnect data from infomobility service, Open Data and other source @en
  • sport - BBC Sport Ontology
    http://www.bbc.co.uk/ontologies/sport
    A simple ontology for representing competitive sports events. @en
  • music - Music Vocabulary
    http://www.kanzaki.com/ns/music
    A vocabulary, or music ontology, to describe classical music and performances. Classes (categories) for musical works, events, instruments and performers, as well as related properties are defined. Make sure to distinguish musical works (e.g. Opera) from performance events (Opera_Event), or works (String_Quartette) from performer (StringQuartetEnsemble in this vocab), whose natural language terms are used interchangeblly. The present version experiments more precise model to describe a musical work, its representations (performances, scores, etc) and a musical event to present a representation (a concert). Includes 30 keys as individuals. @en
  • situ - Situation Pattern
    http://www.ontologydesignpatterns.org/cp/owl/situation.owl
    A pattern to represent contexts or situations, and the things that are contextualized. @en
  • tis - Time Indexed Situation
    http://www.ontologydesignpatterns.org/cp/owl/timeindexedsituation.owl
    A generic pattern usable for all situations that require a temporal indexing. @en
  • tisc - Open Time and Space Core Vocabulary
    http://www.observedchange.com/tisc/ns#
    TISC, the Open Time and Space Core Vocabulary, is a lightweight spatiotemporal vocabulary aiming to provide spatial and temporal terms such as "happensAt", "locatedAt", "rightOf" to enable practitioners to relate their data to time and space. @en
  • sealit - SeaLiT Ontology
    http://www.sealitproject.eu/ontology/
    The SeaLiT Ontology is a formal ontology intended to facilitate the integration, mediation and interchange of heterogeneous information related to maritime history. It aims at providing the semantic definitions needed to transform disparate, localised information sources of maritime history into a coherent global resource. It also serves as a common language for domain experts and IT developers to formulate requirements and to agree on system functionalities with respect to the correct handling of historical information. The ontology uses and extends the CIDOC Conceptual Reference Model (ISO 21127:2014), in particular version 7.1.1, as a general ontology of human activity, things and events happening in space and time. @en
  • duv - Dataset Usage Vocabulary
    http://www.w3.org/ns/duv
    The Dataset Usage Vocabulary (DUV) is used to describe consumer experiences, citations, and feedback about datasets from the human perspective. @en
  • rov - Registered Organization Vocabulary
    http://www.w3.org/ns/regorg
    The Registered Organization Vocabulary is a profile of the Organization Ontology for describing organizations that have gained legal entity status through a formal registration process, typically in a national or regional register. @en
  • ibis - IBIS Vocabulary
    https://privatealpha.com/ontology/ibis/1#
    This document specifies a vocabulary for describing an IBIS (issue-based information system). @en
  • ce - CityExplorer Ontology
    https://purl.org/cityexplorer
    This ontology models personalized tourist experiences by representing cities, points of interest, events, accommodations, restaurants, transportation, and their relationships. This ontology is part of a university project. @en
  • s4grid - SAREF4GRID: an extension of SAREF for the Smart Grid domain
    https://saref.etsi.org/saref4grid/
    The development of the SAREF4GRID ontology has been partially funded by the IA4TES project (MIA.2021.M04.0008), funded by the Spanish Ministry of Economic Affairs and Digital Transformation and by the NextGenerationEU program @en
  • 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
  • gcon - GConsent - a consent ontology based on the GDPR
    https://w3id.org/GConsent
    GConsent provides concepts and relationships for defining consent and its associated information or metadata with a view towards GDPR compliance. It is the outcome of an analysis of consent and requirements associated with obtaining, using, and changes in consent as per the GDPR. The ontology also provides an approach to using its terms in various scenarios and use-cases (see more information in the documentation) which is intended to assist in its adoption. @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