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  • lsweb - ELSEWeb Data Ontology
    http://ontology.cybershare.utep.edu/ELSEWeb/elseweb-data.owl
    The ELSEWeb Data ontology provides simple classes for describing datasets. This project provides foundational support for the ELSEWeb project(http://elseweb.cybershare.utep.edu/). website: http://elseweb.cybershare.utep.edu/ontologies email: nvillanuevarosales@utep.edu @en
  • dm2e - DM2E model
    http://onto.dm2e.eu/schemas/dm2e
    The DM2E model is a specialisation of the Europeana Data Model (EDM) and can be used for the description of manuscripts in the cultural heritage domain. @en
  • limoo - License Model Ontology
    http://purl.org/LiMo/0.1#
    A vocabulary to describe licenses @en
  • frapo - Funding, Research Administration and Projects Ontology
    http://purl.org/cerif/frapo/
    FRAPO, the Funding, Research Administration and Projects Ontology, is a CERIF-compliant ontology written in OWL 2 DL for describing research project administrative information. @en
  • ru - Representational Units Metadata Ontology
    http://purl.org/imbi/ru-meta.owl
    Draft for a recommendation for metadata on Representational Units (RU) which appear in ontologies. It is so far harmonized for implementation through owl annotation properties. @en
  • media - The Media RDF Vocabulary
    http://purl.org/media
    In order to enable and encourage the sharing, distribution, syndication, and aggregation of media content, the authors propose the Media RDF vocabulary, an open standard for distributed media metadata. @en
  • lyou - Linking-you vocabulary
    http://purl.org/linkingyou/
    Vocabulary for describing common webpages provided by an organisation @en
  • voidext - Extended Vocabulary of Interlinked Datasets (VoIDext)
    http://purl.org/query/voidext
    The Extension of the Vocabulary of Interlinked Datasets (VoID) RDF Schema that includes the concept of virtual links. This extension enhances interoperability among heterogeneous and distributed RDF data sets by bridging them through explicitly defined virtual links. @en
  • scoro - Scholarly Contributions and Roles Ontology
    http://purl.org/spar/scoro/
    SCoRO, the Scholarly Contributions and Roles Ontology, is an ontology for use by authors and publishers for describing the contributions that may be made and the roles that may be held by a person with respect to a journal article or other publication, and by research administrators and others for describing contributions and roles with respect to other aspects of scholarly research. @en
  • vann - VANN: A vocabulary for annotating vocabulary descriptions
    http://purl.org/vocab/vann/
    A vocabulary for annotating descriptions of vocabularies with examples and usage notes. @en
  • voaf - Vocabulary of a Friend
    http://purl.org/vocommons/voaf
    A vocabulary to describe linked data vocabularies and their relations @en
  • ro - The Research Object Ontology
    http://purl.org/wf4ever/ro
    This ontology shows how AO and ORE ontologies can be used together to define a ResearchObject. This ontology is further customized by the wf4ever ontology. @en
  • aiiso - Academic Institution Internal Structure Ontology
    http://purl.org/vocab/aiiso/schema
    The Academic Institution Internal Structure Ontology (AIISO) provides classes and properties to describe the internal organizational structure of an academic institution. AIISO is designed to work in partnership with Participation (http://purl.org/vocab/participation/schema), FOAF (http://xmlns.com/foaf/0.1/) and aiiso-roles (http://purl.org/vocab/aiiso-roles/schema) to describe the roles that people play within an institution. @en
  • meb - The myExperiment Base Ontology
    http://rdf.myexperiment.org/ontologies/base/
    This ontology provides the base elements required by myExperiment for content management, social networking and object annotation. @en
  • donto - Dataset Ontology
    http://reference.data.gov.au/def/ont/dataset
    The data.gov.au Dataset Ontology is an OWL ontology designed to describe the characteristics of datasets published on data.gov.au. The ontology contains elements which describe the publication, update, origin, governance, spatial and temporal coverage and other contextual information about the dataset. The ontology also covers aspects of organisational custodianship and governance. By using this ontology to describe datasets on data.gov.au publishers increase discoverability and enable the consumption of this information in other applications/systems as Linked Data. It further enables decentralised publishing of catalogs and facilitates federated dataset search across sites, e.g. in datasets that are published by the States. Other publishers of Linked Data may make assertions about data published using this ontology, e.g. they may publish information about the use of the dataset in other applications. @en