Linked Open Vocabularies

ebg - euBusinessGraph ontology

http://data.businessgraph.io/ontology#

The euBusinessGraph (`ebg:`) ontology represents companies, type/status/economic classification, addresses, identifiers, company officers (e.g., directors and CEOs), and dataset offerings. It uses `schema:domainIncludes/rangeIncludes` (which are polymorphic) to describe which properties are applicable to a class, rather than `rdfs:domain/range` (which are monomorphic) to prescribe what classes must be applied to each node using a property. We find that this enables more flexible reuse and combination of different ontologies. We reuse the following ontologies and nomenclatures, and extend them where appropriate with classes and properties: - W3C Org, W3C RegOrg (basic company data), - W3C Time (officer membership), - W3C Locn (addresses), - schema.org (domain/rangeIncludes and various properties) - DBpedia ontology (jurisdiction) - NGEO and Spatial (NUTS administrative divisions) - ADMS (identifiers), - FOAF, SIOC (blog posts), - RAMON, SKOS (NACE economic classifications and various nomenclatures), - VOID (dataset descriptions). This is only a reference. See more detail in the [EBG Semantic Model](https://docs.google.com/document/d/1dhMOTlIOC6dOK_jksJRX0CB-GIRoiYY6fWtCnZArUhU/edit) google document, which includes an informative description of classes and properties, gives examples and data provider rules, and provides more schema and instance diagrams. @en

cochrane - Cochrane Core Vocabulary Ontology

http://data.cochrane.org/ontologies/core/

The Cochrane Core ontology describes the entities and concepts that exist in the domain of evidence based healthcare. It is used for the construction of the Cochrane Linked Data Vocabulary containing some 400k terms including Interventions (Drugs, Procedures etc), Populations (Age, Sex, Condition), and clinical Outcomes. @en

pico - Cochrane PICO Ontology

http://data.cochrane.org/ontologies/pico/

The PICO ontology provides a machine accessible version of the PICO framework. It essentially provides a model for describing evidence in a consistent way. The model allows the specifying of complex populations, detailed interventions and their comparisons as well as the outcomes considered. The PICO ontology was originally designed to model the questions asked and answered in Cochrane's systematic reviews. As a leader in the field of evidence based healthcare Cochrane uses the PICO model when framing and publishing evidence based questions. The PICO model is widely adopted for describing healthcare evidence, furthermore is equally applicable in other evidence-based domains. It essentially provides a model for describing evidence in a consistent way. @en

cc - Creative Commons Rights Expression Language

http://creativecommons.org/ns

The Creative Commons Rights Expression Language (CC REL) lets you describe copyright licenses in RDF @en

oad - Ontology for archival description

http://culturalis.org/oad#

An ontology for the description of archival data (OAD, “Ontology of Archival Description”) using the Web Ontology Language (OWL). This ontology represents the classes and properties needed to expose the archival resources as linked data. @en

gndo - GND Ontology

http://d-nb.info/standards/elementset/gnd#

GND stands for "Gemeinsame Normdatei" (Integrated Authority File) and offers a broad range of elements to describe authorities. The GND originates from the German library community and aims to solve the name ambiguity problem in the library world. @en

era - ERA vocabulary

http://data.europa.eu/949/

This is the human and machine readable Vocabulary/Ontology governed by the European Union Agency for Railways. It represents the concepts and relationships linked to the sectorial legal framework and the use cases under the Agency´s remit. Currently, this vocabulary covers the European railway infrastructure and the vehicles authorized to operate over it. It is a semantic/browsable representation of the RINF and ERATV application guides that were built by domain experts in the RINF and ERATV working parties. Since version 2.6.0, the ontology includes the routebook concepts described in appendix D2 \"Elements the infrastructure manager has to provide to the railway undertaking for the Route Book\" (https://eur-lex.europa.eu/eli/reg_impl/2019/773/oj) and the appendix D3 \"ERTMS trackside engineering information relevant to operation that the infrastructure manager shall provide to the railway undertaking\". @en

locah - The LOCAH RDF Vocabulary

http://data.archiveshub.ac.uk/def/

This vocabulary derived from the Encoded Archival Description standard has been developed in 2010-2011 by the LOCAH project. @en

mus - DOREMUS is an extension of the FRBRoo model for describing the music.

http://data.doremus.org/ontology#

DOREMUS is an extension of the FRBRoo model for describing the music. @en

eli - The European Legislation Identifier

http://data.europa.eu/eli/ontology

Transposition of the ELI metadata fields into an OWL ontology @en

pnc - Press.net Classification Ontology

http://data.press.net/ontology/classification/

The Press.net Classification Ontology allows assets to be holistically classified using a controlled vocabulary or taxonomy. @en

pne - Press.net Event Ontology

http://data.press.net/ontology/event/

Press.net Event Ontology models news-worthy events and their relationship to news assets and stuff (simple entities) in the world. @en

pni - SNaP Identifier Ontology

http://data.press.net/ontology/identifier/

The Identifier Ontology models non-RDF based Identifiers for resources. It is used to maintain a mapping between RDF resources identifiers and their equivalent IDs in an alternate, non-RDF based domain. @en

pns - Press.net Stuff Ontology

http://data.press.net/ontology/stuff/

Press.net Stuff Ontology models real world entities. There are two kinds of stuff: tangibles and intangibles. Tangible stuff includes persons, locations and organizations. Intangibles are abstract concepts such as smoking, feminism or love. @en

pnt - Press.net Tag Ontology

http://data.press.net/ontology/tag/

Press.net Tag Ontology defines relationships for semantically annotating taggable things (for example news assets) with domain entities (stuff) and events. @en

Patterns?:	type name both
Flatten?:	yes no

How to