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bimerr-op - Occupancy Profile ontology http://bimerr.iot.linkeddata.es/def/occupancy-profile# The Occupancy Profile ontology has been developed to represent people’s behavior inside building spaces. @en -
brk - Key Register Cadastre (BRK) vocabulary http://brk.basisregistraties.overheid.nl/def/brk Vocabulary for the Dutch key register of the cadastre (BRK) @en -
brt - Key Register Topography (BRT) vocabulary http://brt.basisregistraties.overheid.nl/def/top10nl Vocabulary for the Dutch key register of topography (BRT) @en -
caresses - CARESSES Ontology http://caressesrobot.org/ontology The CARESSES Ontology encodes guidelines defined by experts in Transcultural Nursing, with the aim of offering a specific tool for endowing social assistive robots (assisting older adults) with cultural competence. @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 -
food - Food Ontology http://data.lirmm.fr/ontologies/food This ontology models the Food domain. It allows to describe ingredients and food products. Ontology used by the Open Food Facts dataset @en -
ispra - Ispra Ontology http://dati.isprambiente.it/ontology/core# ISPRA ontology aims at the description of the processes and activities of the Institute in the areas circumscribed by the first published datasets. @en -
dogont - Ontology Modeling for Intelligent Domotic Environments http://elite.polito.it/ontologies/dogont.owl The DogOnt ontology supports device/network independent description of houses, including both controllable and architectural elements. @en -
eupont - EUPont: an ontology for End User Programming of the IoT http://elite.polito.it/ontologies/eupont.owl EUPont is an ontology to model high level rules for Internet of Things End User Programming (IoT-EUP). @en -
spfood - SmartProducts Food Domain Model http://kmi.open.ac.uk/projects/smartproducts/ontologies/food.owl Defines concepts and properties specific for the SmartProducts Philips use case (cooking domain). @en -
earth - The Linked Earth Ontology http://linked.earth/ontology# The Linked Earth Ontology aims to provide a common vocabulary for annotating paleoclimatology data @en -
veo - Vehicle Emissions Ontology http://linkeddata.finki.ukim.mk/lod/ontology/veo# An ontology for describing vehicles and their emissions. @en -
cpmeta - Ontology of Integrated Carbon Observation System (ICOS) http://meta.icos-cp.eu/ontologies/cpmeta/ OWL vocabulary describing metadata of two environmental research infrastructures: ICOS and SITES @en -
txn - TaxonConcept Ontology http://lod.taxonconcept.org/ontology/txn.owl This ontology and the related TaxonConcept data set mints identifiers that are tied to a specific species concept which can have several names and classifications. @en