We support boolean queries, use +,-,<,>,~,* to alter the weighting of terms
Ontology of the value set for the constitution property of the International Classification of Traditional Medicine (ICTM).
An OWL schema that expands upon the Tissue microarray (TMA) data exchange specification to assist in data sharing and integration.
Anatomy Ontology of the Tick, Families: Ixodidae, Argassidae
An Ontology describing Resources having different formats. This Ontology can be used to annotate and describe Terminological, Ontological Knowledge resources.
Ontology that formally models information relevant for the rehabilitation of knee conditions. It provides the framework that can be used to collect coded data in sufficient detail to support epidemiologic studies so that the most effective treatment components can be identified, new interventions developed and the quality of future randomized control trials improved to incorporate a control intervention that is well defined and reflects clinical practice.
A vocabulary of taxonomic ranks intended to replace the sets of rank terms found in the Teleost Taxonomy Ontology, the OBO translation of the NCBI taxonomy and similar OBO taxonomy ontologies. It provides terms for taxonomic ranks drawn from both the NCBI taxonomy database and from a rank vocabulary developed for the TDWG biodiversity information standards group. Cross references to appearances of each term in each source are provided. Consistent with its intended use as a vocabulary of labels, there is no relation specifying an ordering of the rank terms.
Ontology of context-based healthcare access-control policies.
A domain ontology that provides a formal representation (OWL-DL) of genomic variations. Despite its name it is not limited to the representation of SNPs but it encompasses genomic variations in a broader meaning. SNP-Ontology is general enough to enable the representation of variations observed in genome of various species. Latest versions of SNP-Ontology include the representation of haplotype and of CNV. The unambiguous representation of genomic variations provided by SNP-Ontology enables to integrate heterogeneous data related to genomic variations. To achieve this goal SNP-Ontology enables (1) to represent one variation in accordance with various ways that exist for describing it, (2) to represent the equivalence between two distinct descriptions of one variation, and (3) to represent correspondence between a genomic variation and its outcome at the transcriptome and proteome levels.
Ontology that provides a simple, integrated upper level ontology (types, relations) for consistent knowledge representation across physical, processual and informational entities. It provides vocabulary for the Bio2RDF (http://bio2rdf.org) and SADI (http://sadiframework.org) projects.
A mature foundational ontology developed at the NASA Jet Propulsion Laboratory, currently containing over 6000 concepts organized in 200 ontologies represented in OWL, whose top level concepts include Representation (math, space, science, time, data), Realm (Ocean, Land Surface, Terrestrial Hydroshere, Atmosphere, etc.), Phenomena (macro-scale ecological and physical), Processes (micro-scale physical, biological, chemical, and mathematical), Human Activities (Decision, Commerce, Jurisdiction, Environmental, Research). SWEET is now officially under the governance of the ESIP foundation.
Ontology of semantic types.
Extensible Observation Ontology for the Santa Barbara Coastal Long Term Ecological Research project (SBC-LTER). It extends core concepts defined in the OBOE suite that are particular to the Santa Barbara Coastal Long Term Ecological Research project''s data collection activities. These include specific measurement protocols, sites, etc. This is meant as a case study ontology for the Semtools project.
A structured controlled vocabulary for the annotation of sample processing and separation techniques in scientific experiments, such as, and including, gel electrophoresis, column chromatography, capillary electrophoresis, centrifugation and so on. Developed jointly by the HUPO Proteomics Standards Initiative and The Metabolomics Standards Initiative.
Controlled vocabulary used for various entity properties in the Synapse platform.
A general-purpose STATistics Ontology to provide coverage for processes such as statistical tests, their conditions of applications, and information needed or resulting from statistical methods, such as probability distributions, variable, spread and variation metrics. STATO also covers aspects of experimental design and description of plots and graphical representations commonly used to provide visual cues of data distribution or layout and to assist review of the results.
Ontology in the domain of role classification that aims to standardize role classification and support computer-assisted reasoning. RoleO is a community-based ontology, and its development follows the OBO Foundry principles.
Ontology of a modified version of Medical Subjects Headings Thesaurus 2014, that is an OWL representation of MeSH so that it can be integrated with other ontologies represented in OWL. It contains all terms that are in MeSH and in the MeSH concept tree, including the pharmacological actions (represented as subclass relations). Concepts in the MeSH concept tree are merged with MeSH term ids. Note that, while this ontology is composed of MeSH terms, it does not correspond directly to UMLS MeSH. In particular, a single term in UMLS MeSH often results in multiple classes in this ontology. For example, in MeSH there is a single term with the label Heart. The internal code (unique identifier) for this term is A07.541. In this ontology there are two entirely different terms, both of which have the label Heart. The codes for these terms are A07.541 and D006321.
A controlled terminology for radiology-a single unified source of radiology terms for radiology practice, education, and research. For license information see : http://www.rsna.org/uploadedFiles/RSNA/Content/Informatics/radlex_public_license_version_1-0-1.pdf Converted to use OWL format submissions
An ontology that describes various concepts in quantitative imaging biomarkers.
Collection of ontologies that define the base classes properties, and restrictions used for modeling physical quantities, units of measure, and their dimensions in various measurement systems. The goal of the QUDT ontology is to provide a unified model of, measurable quantities, units for measuring different kinds of quantities, the numerical values of quantities in different units of measure and the data structures and data types used to store and manipulate these objects in software. This OWL schema is a foundation for a basic treatment of units.