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A simple vocabulary for describing biological species and related taxa. @en
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This ontology provides the terminologies used for positioning systems. @en
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Ontology for the Sharing Ancient Wisdoms (SAWS) project, to represent the information and knowledge available in medieval gnomologia (collections of wise sayings). SAWS concentrates mainly on Ancient Greek and Arabic manuscripts containing wisdom literature. All class descriptions are provided by domain experts and the ontology has been developed through collaboration between these experts and ontology developers. @en
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A Web vocabulary for describing aspects of used cars for e-commerce. @en
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The Muninn Military Ontology marks up information about military people, organizations and events. @en
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Given the increasing amount of structured data published on the Web, many possibilities are open for creating new types of games that use resources from the Web of Data. In particular, if we consider the subcategory of Serious Games in which the object of the game is to educate the user through the interactive discovery of real-life concepts (associated to Semantic Web resources), the inclusion of a semantic representation of the user profile and his contextual information becomes an important element to recommend the user more accurate concepts. Ludo is an ontology that allows the creation of Serious Games with those characteristics. @en
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The instances of this ontology have been automatically generated from the UCUM (The Unified Code for Units of Measure). See http://aurora.rg.iupui.edu/UCUM/ for more details on UCUM. The members of the MyMobileWeb consortium explicitly acknowledge the copyright of the data from the UCUM ontology. @en
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This ontology defines the most abstract concepts and properties that are needed to semantically manage resource within federated infrastructures @en
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This ontology is a reduced-in-scope version of the [W3C Decisions and Decision-Making Incubator Group](https://www.w3.org/2005/Incubator/decision/)'s Decision Ontology (DO) which can be found at <https://github.com/nicholascar/decision-o>. It has been re-worked to align entirely with the W3C's [PROV ontology](https://www.w3.org/TR/prov-o/) since it is widely recognised that analysing the elements of decisions *post hoc* is an exercise in provenance. Unlike the original DO, this ontology cannot be used for *normative* scenarios: it is only capable of recording decisions that have already been made (so-called *data-driven* use in the DO). This is because PROV, to which this ontology is completely mapped, does not have a templating system which can indicate what *should* occur in future scenarios. This ontology introduces only one new element for decision modelling over that which was present in the DO: an Agent which allows agency in decision making to be recorded. @en
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The provenance part of PML2 ontology. It is a fundamental component of PML2 ontology. @en
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The Core Ontology is a formal model providing definitions for the key concepts of interest to content publishing at Macmillan Science and Education. @en
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The CWRC Ontology is the ontology of the Canadian Writing Research Collaboratory. @en
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Representation of the TAXREF taxonomic register as linked data. This resource is at the same time an ontology of classes depicting the taxa and a thesaurus (SKOS concept scheme) of the scientific names attached to the taxa. @en
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An ontology of academic and research domain, developed in the framework of the VIVO project @en
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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