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http://purl.bioontology.org/ontology/ICF

A classification of health and health-related domains. These domains are classified from body, individual and societal perspectives by means of two lists: a list of body functions and structure, and a list of domains of activity and participation. Since an individual''s functioning and disability occurs in a context, the ICF also includes a list of environmental factors.

Proper citation: International Classification of Functioning Disability and Health (RRID:SCR_010239) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/CANONT

Upper-level ontology for cancer.

Proper citation: Upper-Level Cancer Ontology (RRID:SCR_010443) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/GEXO

An application ontology for the domain of gene expression. The ontology integrates fragments of GO and MI with data from GOA, IntAct, UniProt, NCBI, KEGG and orthology relations.

Proper citation: Gene Expression Ontology (RRID:SCR_010326) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/WSIO

Ontology that enables automated interaction with more complex Web services that are typical for example within life sciences. WSIO is however independent of the application domain and relevant for both SOAP and REST Web services, and for batch execution engines in general. If the interaction scenario with a Web service is nontrivial (and incorporates session handling), annotation with WSIO concepts will enable automatic generation of client programs, scripts, or interactive applications with a graphical user interface. WSIO also enables automation of different ways of data transfer and data un-/compression or en-/decoding. They strongly discourage providers from developing complex interaction and data-transfer/compression scenarios, however when needed, WSIO may enable smooth automated interaction with them. Future versions will support more interaction scenarios. WSIO aims to serve also as a means to standardise the complex interaction scenarios primarily within both SOAP and REST Web services, and secondarily to apply also to batch execution infrastructure in general.

Proper citation: Web-Service Interaction Ontology (RRID:SCR_010448) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/GFO

A top-level ontology integrating objects and processes.

Proper citation: General Formal Ontology (RRID:SCR_010328) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/CO-WHEAT

Ontology that defines traits of the International Wheat Information System (IWIS) database and wheat descriptor.

Proper citation: Wheat Trait Ontology (RRID:SCR_010449) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/GFO-BIO

A biological core ontology built on the General Formal Ontology.

Proper citation: General Formal Ontology for Biology (RRID:SCR_010329) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/XEO

Ontology to help plant scientists in documenting and sharing metadata describing the abiotic environment.

Proper citation: XEML Environment Ontology (RRID:SCR_010450) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/GCO

Ontology to define the abstract division of the total genetic information of an organism by its physical separation into different components, thereby providing a high level reference point to which more specific descriptions of the characteristics of these components can be linked.

Proper citation: Genome Component Ontology (RRID:SCR_010330) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/SITBAC

Ontology of context-based healthcare access-control policies.

Proper citation: Situation-Based Access Control Ontology (RRID:SCR_010429) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/ONSTR

Application ontology covering the domain of newborn screening, follow-up and translational research pertaining to patients diagnosed with inheritable and congenital diseases mainly identified through newborn dried blood spot screening. ONSTR is a central component of the project Newborn Screening Follow-up Data Integration Collaborative (NBSDC), https://nbsdc.org. ONSTR uses the Basic Formal Ontology v2 (BFO2, v2012-07-20) as top-level ontology and extends the classes imported from OBO Foundry ontologies and candidate ontologies.

Proper citation: Ontology for Newborn Screening Follow-up and Translational Research (RRID:SCR_010389) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/OBOE-SBC

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.

Proper citation: Santa Barbara Coastal Observation Ontology (RRID:SCR_010424) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/STY

Ontology of semantic types.

Proper citation: Semantic Types Ontology (RRID:SCR_010425) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/SIO

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.

Proper citation: Semanticscience Integrated Ontology (RRID:SCR_010427) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/ONTODM-CORE

Generic ontology for the domain of data mining that includes the information processing processes that occur in the domain of data mining, participants in the processes and their specifications. OntoDM is highly transferable and extendable due to its adherence to accepted standards, and compliance with existing ontology resources. The generality in scope allows wide number of applications of the ontology, such as semantic annotation of data mining scenarios, ontology based support for QSARs, etc.

Proper citation: Ontology of Core Data Mining Entities (RRID:SCR_010393) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/PEDTERM

Terms associated with pediatrics, representing information related to child health and development from pre-birth through 21 years of age; contributed by the National Institute of Child Health and Human Development.

Proper citation: Pediatric Terminology (RRID:SCR_010395) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/OOEVV

Ontology that provides a lightweight representation of the variables used to measure experimental properties and the measurement scales that form the complex data types supporting that data. Many different variables measure the same thing, here they use a lightweight representation driven by a small number of classes and a large number of variables to focus only on providing a vocabulary of variables that may be extended for consolidation to standardized variables for specific things and functions to map between values from different measurements scales. They use the base ontology description to provide a very lightweight representation of the basic elements of an experimental design and they use views to instantiate it for specific domains.

Proper citation: Ontology of Experimental Variables and Values (RRID:SCR_010396) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/ONTODT

Ontology that contains entities such as: datatype, datatype generator, datatype quality and others giving the possibility to represent arbitrary complex datatypes. This is an important fact for a general data mining ontology that wants to represent and query over modelling algorithms for mining structured data. The ontology was first developed under the OntoDM (Ontology of Data Mining, http://kt.ijs.si/panovp/OntoDM) ontology, but for generality and reuse purpose it was decided to export it as a separate ontology. Additionaly, the OntoDT ontology is based on and ISO/IEC 11404 (http://www.iso.org/iso/catalogue_detail.htm?csnumber=39479) standard and can be reused used independently by any domain ontology that requires representation and reasoning about general purpose datatypes.

Proper citation: Ontology of General Purpose Datatypes (RRID:SCR_010397) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/ONTOMA

Ontology for common concepts for communication between traditional medicine and western medicine. (In French)

Proper citation: Ontology of Alternative Medicine French (RRID:SCR_010390) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/OGMD

Ontology including the disease names, phenotypes and their classifications involved in Glucose Metabolism Disorder, Diabetes. (OBO and OWL format are available in sourceforge.)

Proper citation: Ontology of Glucose Metabolism Disorder (RRID:SCR_010399) Copy   

•   Source: SciCrunch Registry