The Semantic Web Conference ontology (SWC) is an ontology for describing academic conferences @en
omnfed- Open-Multinet Upper Federation Ontology
http://open-multinet.info/ontology/omn-federation
This ontology defines concepts related to federation of internet infrastructures. @en
oo- Open Organisations
http://purl.org/openorg/
This vocabulary provides supplementary terms for organisations wishing to publish open data about themselves. @en
br- Brainstorm Ontology
http://vocab.deri.ie/br
A lightweight ontology to structure e- brainstorming sessions @en
ibis- IBIS Vocabulary
https://privatealpha.com/ontology/ibis/1#
This document specifies a vocabulary for describing an IBIS (issue-based information system). @en
ce- CityExplorer Ontology
https://purl.org/cityexplorer
This ontology models personalized tourist experiences by representing cities, points of interest, events, accommodations, restaurants, transportation, and their relationships. This ontology is part of a university project. @en
gdprt- GDPR text EXTensions
https://w3id.org/GDPRtEXT
The General Data Protection Regulation (GDPR) is comprised of several articles, each with points that refer to specific concepts. The general convention of referring to these points and concepts is to quote the specific article or point using a human-readable reference. This ontology provides a way to refer to the points within the GDPR using the EurLex ontology published by the European Publication Office. It also defines the concepts defined, mentioned, and requried by the GDPR using the Simple Knowledge Organization System (SKOS) ontology. @en
pd- Personal Data Categories
https://w3id.org/dpv/pd
Extension to the Data Privacy Vocabulary (DPV) providing additional categories of personal data @en
modsci- ModSci, Modern Science Ontology.
https://w3id.org/skgo/modsci#
ModSci is a reference ontology for modelling different types of modern sciences and related entities, such as scientific discoveries, renowned scientists, instruments, phenomena ... etc. @en
vair- Vocabulary of AI Risks
https://w3id.org/vair
VAIR is a taxonomy of AI and risk concepts. @en
km4c- km4city, the DISIT Knowledge Model for City and Mobility
http://www.disit.org/km4city/schema
A Knowledge Model to describe a smart city, that interconnect data from infomobility service, Open Data and other source @en
gdprov- The GDPR Provenance ontology
https://w3id.org/GDPRov
GDPRov is an OWL2 ontology to express provenance metadata of consent and data lifecycles towards documenting compliance for GDPR. @en
gcon- GConsent - a consent ontology based on the GDPR
https://w3id.org/GConsent
GConsent provides concepts and relationships for defining consent and its associated information or metadata with a view towards GDPR compliance. It is the outcome of an analysis of consent and requirements associated with obtaining, using, and changes in consent as per the GDPR. The ontology also provides an approach to using its terms in various scenarios and use-cases (see more information in the documentation) which is intended to assist in its adoption. @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
iso37120- ISO 37120 indicator URIs
http://ontology.eil.utoronto.ca/ISO37120.owl
ISO 37120 – Sustainable Development and Resilience of Communities – Indicators for City Services and Quality of Life (under TC268)
http://ontology.eil.utoronto.ca/ISO37120.html
This OWL file defines a class for each indicator defined in the ISO 37120 standard. Names for each indicator are provided. Text definitions are provided only for Economy, Education and Energy indicators, due to copyright restrictions imposed by ISO. This file is meant to provide a single URI for each indicator.
An ontology for representing an indicator's supporting data plus meta information such as provenance, validity and trust can be found in:
http://ontology.eil.utoronto.ca/GCI/Foundation/GCI-Foundation.owl
Documentation of the ontology can be found in:
http://eil.utoronto.ca/smartcities/papers/GCI-Foundation-Ontology.pdf @en