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This ontology is partially based on the SysML QUDV (Quantities, Units, Dimensions and Values) proposed by a working group of the SysML 1.2 Revision Task Force (RTF), working in close coordination with the OMG MARTE specification group. In order to generalize its potential usage and alignment with other standardization efforts concerning quantities and units, the QU ontology has been further developed as a complement to the Agriculture Meteorology example showcasing the ontology developed by the W3C Semantic Sensor Networks incubator group (SSN-XG). @en
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This ontology deals with the notion of reified events - events seen as first-class objects. @en
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SemSur, the Semantic Survey Ontology, is a core ontology for describing individual research problems, approaches, implementations and evaluations in a structured, comparable way. @en
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The COO provides a vocabulary for exposing available configuration options for car models. It allows indicating choices that can be made as well as compatibility, dependency, and inclusion information. The ontology imports and extends the GoodRelations ontology for e-commerce @en
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This vocabulary is based on the EPC Information Services Specification http://www.gs1.org/sites/default/files/docs/epc/epcis_1_0_1-standard-20070921.pdf @en
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One key use case for this ontology is to facilitate the matching of needs and innovations. @en
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Vocabulary for describing issues (or problems) and corresponding symptoms and solutions to a broad variety of contexts. It is intended to provide a generic, reusable core ontology that can be extended or specialized for use in domain-specific situations, aimed at supporting linked data publishing. The solutions are represented by procedures, which are possible workflows for solving corresponding issues. @en
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A Vocabulary for Incorporating Predictive Models into the Linked Data Web @en
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This vocabulary allows multi-dimensional data, such as statistics, to be published in RDF. @en
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This vocabulary extends the data cube vocabulary to support publication of statistical data in RDF, using an information model based on SDMX @en
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Defines subclasses and instances of codes used in SDMX, such as currencies, decimals, frequencies ... @en
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Defines dimensions for the statistical "cubes" defined by SDMX @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 Ontology for Provenance and Plans (P-Plan) is an extension of the PROV-O ontology [PROV-O] created to represent the plans that guided the execution of scientific processes. P-Plan describes how the plans are composed and their correspondence to provenance records that describe the execution itself. @en
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Wf-invoc is a simple profile of the P-plan ontology to describe how workflow steps are invoked within a workflow execution. @en