127
results
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A vocabulary to describe licenses @en
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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
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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
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The objective of gUFO is to provide a lightweight implementation of the Unified Foundational Ontology (UFO) [1-5] suitable for Semantic Web OWL 2 DL applications. Intended users are those implementing UFO-based lightweight ontologies that reuse gUFO by specializing and instantiating its elements. There are three implications of the use of the term lightweight. First of all, we have employed little expressive means in an effort to retain computational properties for the resulting OWL ontology. Second, we have selected a subset of UFO-A [1, 2] and UFO-B [3] to include here. In particular, there is minimalistic support for UFO-B (only that which is necessary to establish the participation of objects in events and to capture historical dependence between events). Third, a lightweight ontology, differently from a reference ontology, is designed with the purpose of providing an implementation artifact to structure a knowledge base (or knowledge graph). This has driven a number of pragmatic implementation choices which are discussed in comments annotated to the various elements of this implementation. The 'g' in gUFO stands for gentle. At the same time, "gufo" is the Italian word for "owl". For the source repository, see: <https://github.com/nemo-ufes/gufo> @en
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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
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This Vocabulary provides the means to create a document which describes a large event or other connected series of events. The primary purpose is to help humans comprehend the programme, not describe absolute truth. A single event (or even series) may have multiple programmes. @en
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An ontology for organising theatrical data. @en
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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
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A vocabulary for annotating descriptions of vocabularies with examples and usage notes. @en
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A vocabulary to describe linked data vocabularies and their relations @en
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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
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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
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This ontology provides the base elements required by myExperiment for content management, social networking and object annotation. @en
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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
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A vocabulary defining a large variety of specific relationships between the various levels of the FRBR pile. @en