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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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This term list includes all currently valid terms that have been defined in the core Audubon Core namespace ac:. @en
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The SALT Annotation Ontology represents the connection layer between the rhetorical and argumentation and the document structure and content @en
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A common vocabulary for digital food platforms (Product Glossary Part) @en
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The Data Value Vocabulary (DaVe) is an extensible core vocabulary that allows user to use custom data value dimensions and metrics to characterise data value in a specific context. This flexibility allows for the comprehensive modelling of data value. As a data value model, DaVe allows users to monitor data value as it occurs within a data exploitation or value creation process (data value chain) @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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An application profile of DCAT combining it with other metadata vocabularies (e.g. VoID, DCTERMS, LIME) to meet requirements elicited in various use cases of the Semantic Web platform Semantic Turkey @en
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CHAMEO is a domain ontology designed to model the common aspects across the different characterisation techniques and methodologies. @en
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The File Ontology for Geometry formats (FOG) describes meaningful relations towards geometry snippets in RDF literals, geometry files on relative or absolute URLs and ontology-based geometry descriptions. The defined properties in this ontology are related towards each other and additional metadata is provided, such as file extension and related specifications/sources (incl. entries in dbpedia and Wikidata). The initial version of the ontology (v0.0.1) was documented in: Bonduel, Mathias, Wagner, Anna, Pauwels, Pieter, Vergauwen, Maarten, & Klein, Ralf (2019). Including Widespread Geometry Formats in Semantic Graphs Using RDF Literals. In Proceedings of the European Conference on Computing in Construction (EC3 2019). Chania, Greece. @en
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The Geometry Metadata Ontology contains terminology to Coordinate Systems (CS), length units and other metadata (file size, software of origin, etc.). GOM is designed to be at least compatible with OMG (Ontology for Managing Geometry) and FOG (File Ontology for Geometry formats), and their related graph patterns. In addition, GOM provides terminology for some experimental data structures to manage (marked as vs:term_status = unstable): * transformed geometry (e.g. a prototype door geometry that is reused for all doors of this type). This is closely related to the transformation of Coordinate Systems @en
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The ISO Property (ISOProps) ontology maps the data model of the ISO 23386 for the describing, creating, and maintenance of properties in interconnected data dictionaries. The namespace for ISOProps terms is [https://w3id.org/isoprops](https://w3id.org/isoprops) The preferred prefix for the ISOProps namespace is `isoprops`. ## Ontology Overview  ## Assigning an ISOProps Property to a Feature of Interest  ## Relation between DCAT vocabulary and the ISOProps ontology  @en
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An ontology for metadata about legal texts represented using the LegalHTML format @en
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The Level of Information Need (LOIN) Ontology is defined for specifying information requirements for delivery of data in a buildings' life cycle. The LOIN ontology is based on the standard BS EN 17412-1 (2020). Furthermore, it is extended with vocabulary for connecing Information Delivery Specifications (IDS) and Information containers for linked document delivery (ICDD) as per ISO 21597-1 (2020). @en