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isoprops - ISO 23386 Property Ontology (ISOProps) https://w3id.org/isoprops 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 -
loin - Level of Information Need (LOIN) Ontology https://w3id.org/loin 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 -
modp - Metadata for Ontology Description and publication https://w3id.org/mod Metadata for Ontology Description and publication @en -
lh - LegalHTML Ontology https://w3id.org/legalhtml/ov An ontology for metadata about legal texts represented using the LegalHTML format @en -
ontouml - OntoUML Metamodel Vocabulary https://w3id.org/ontouml A reference implementation of the OntoUML metamodel in OWL. @en -
ocmv - OntoUML/UFO Catalog Metadata Vocabulary https://w3id.org/ontouml-models/vocabulary Specification of the metadata used to describe models in the OntoUML/UFO Catalog. @en -
sdont - The Software Description Ontology https://w3id.org/okn/o/sd An ontology for describing software and their links to inputs, outputs and variables. The ontology extends schema.org and codemeta vocabularies @en -
pghdprovo - Patient Generated Health Data Provenance Ontology https://w3id.org/pghdprovo Patient Generated Health Data (PGHD) refer to health data collected by patient or their relatives. This ontology seeks to capture information about the data, the provenance and data quality associated with PGHD shared with an EHR. @en -
rbdoc - RiverBench documentation ontology https://w3id.org/riverbench/schema/documentation Ontology with metadata needed to generate documentation of datasets, distributions, profiles, etc. in RiverBench @en -
rb - RiverBench metadata ontology https://w3id.org/riverbench/schema/metadata Ontology for describing datasets and profiles in the RiverBench benchmark suite. @en -
rdfp - The RDF Presentation ontology https://w3id.org/rdfp/ ## RDF Presentation and RDF Presentation Negotiation An RDF graph can be presented in several ways, using different media types. Examples of RDF media types include `application/rdf+xml`, `text/turtle`, `application/json+ld`. Today, most of the content consumed/produced/published, on the Web is not presented in RDF. In the Web of Things, HTTP servers and clients would rather exchange lightweight documents, potentially binary. Currently, most existing RDF Presentations generically apply to any RDF graph, at the cost of being heavy text-based documents. Yet, lightweight HTTP servers/clients could be better satisfied with consuming/producing/publishing lightweight documents, may its structure be application-specific. @en -
swemls - Semantic-Web Machine Learning System (SWeMLS) Ontology https://w3id.org/semsys/ns/swemls An ontology to describe a Semantic-Web Machine Learning System (SWeMLS) @en -
stax - RDF Stream Taxonomy (RDF-STaX) https://w3id.org/stax/ontology RDF-STaX is an OWL 2 DL ontology that enables describing the types of RDF streams and defines relations between them. @en -
sw-quality - SQuAP Ontology https://w3id.org/squap/ Quality, architecture, and process are considered the keystones of software engineering. ISO defines them in three separate standards. However, their interaction has been poorly studied, so far. The SQuAP model (Software Quality, Architecture, Process) describes twenty-eight main factors that impact on software quality in banking systems, and each factor is described as a relation among some characteristics from the three ISO standards. Hence, SQuAP makes such relations emerge rigorously, although informally. SQaAP-Ont is an OWL ontology that formalises those relations in order to represent and reason via Linked Data about software engineering in a three-dimensional model consisting of quality, architecture, and process characteristics. @en -
sri - Smart Readiness Indicator Vocabulary https://w3id.org/sri A vocabulary specifying concepts and structures needed to represent different data cubes needed for the Smart Readiness Indicator. @en