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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 -
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 -
brt - Key Register Topography (BRT) vocabulary http://brt.basisregistraties.overheid.nl/def/top10nl Vocabulary for the Dutch key register of topography (BRT) @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 -
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 -
biol - Biological Taxonomy Vocabulary 0.2 (Core) http://purl.org/NET/biol/ns# An RDF vocabulary for the taxonomy of all forms of life @en -
botany - Biological Taxonomy Vocabulary 0.2 (Botany) http://purl.org/NET/biol/botany# This is a specialist botanical variant of the Biological Taxonomy Vocabulary. @en -
taxon - TaxonMap Ontology http://purl.org/biodiversity/taxon/ This is the initial vocabulary for mapping the various taxon classes on the Linked Open Data Cloud @en -
biotop - BioTop http://purl.org/biotop/biotop.owl Upper-Level ontology for Biology and Medicine. Compatible with BFO, DOLCE, and the UMLS Semantic Network @en -
holy - Hydrogen Ontology http://purl.org/holy/ns# This is the Hydrogen Ontology (HOLY). HOLY is a domain ontology for describing the complex structure of hydrogen-based markets. HOLY contributes to the systemic modeling of the hydrogen domain with a focus on its value chain. Hence, it provides a foundation for retrieval, storage, and delivery of market insights. @en -
dicom - Healthcare metadata - DICOM ontology http://purl.org/healthcarevocab/v1 Ontology for healthcare metadata - especially metadata found in DICOM files (Digital Imaging and Communications in Medicine, see http://dicom.nema.org/). Author: Michael Brunnbauer, Bonubase GmbH (www.bonubase.com). The author's email address is brunni@netestate.de. See http://purl.org/healthcarevocab/v1help for explanations. @en -
dpo - Diabetes Pharmacology Ontology http://purl.org/twc/dpo/ont/diabetes_pharmacology_ontology.ttl The Diabetes Pharmacology Ontology contains the classes needed to describe antihyperglycemic therapies. @en -
uniprot - Uniprot Core Ontology http://purl.uniprot.org/core/ Properties and classes used for protein annotation @en