|Number of classes:||342|
|Number of individuals:||28|
|Number of properties:||192|
|Maximum number of siblings:||18|
|Average number of siblings:||8|
|Classes with a single subclass:||
Classes with a single subclass
|Classes with more than 25 subclasses:|
|Classes with no definition:||
Classes with no definition
Clinical and Translational Science Awards
|Contact||Ida Sim, email@example.com|
|Description||OCRe is an ontology designed to support systematic description of, and interoperable queries on, human studies and study elements.|
|Version||Release Date||Upload Date||Downloads|
|0.94 parsing error||06/19/2009||06/19/2009||Ontology|
|0.91 parsing error||01/29/2009||01/29/2009||Ontology|
|Version||Ontology Version||Release Date||Upload Date||Downloads|
|Revision 258||Revision 244||02/21/2012||02/21/2012||Ontology View|
|Revision 249||Revision 244||02/13/2012||02/13/2012||Ontology View|
|Revision 244||Revision 244||02/07/2012||02/08/2012||Ontology View|
NCBO Resource Index
The NCBO Resource Web service is a system for ontology based a...
The NCBO Resource Web service is a system for ontology based annotation and indexing of biomedical data; the key functionality of this system is to enable users to locate biomedical data resources related to particular ontology concepts. The annotations are generated using the NCBO Annotator and presented through integration with BioPortal, enabling researchers to search for biomedical resources associated (annotated) with specific ontology terms. The NCBO Resources web service uses a concept recognizer (currently provided by the National Center for Integrative Biomedical Informatics, University of Michigan) to produce a set of annotations and expand these using ontology is_a relations in the ontology. The system's indexing workflow processes the text metadata of diverse resource elements such as gene expression data sets, descriptions of radiology images, clinical trial reports, and PubMed article abstracts to annotate and index them with concepts from appropriate ontologies. Researchers can then search biomedical data sources using ontology concepts.
High level abstraction API (Java/REST/R) for interacting with o...
High level abstraction API (Java/REST/R) for interacting with ontology resources including local ontology files in standard OWL and OBO formats (via OWL API) and public ontology repositories: EBI Ontology Lookup Service (OLS) and NCBO BioPortal.
Tomasz Adamusiak, Helen Parkinson, Natalja Kurbatova, Misha Kapushesky, Morris Swertz
|EMBL-EBI, University of Groningen|
The eagle-i project is building a searchable network of researc...
The eagle-i project is building a searchable network of research resources at research institutions nationwide. We are developing an application ontology for indexing and querying, and this effort is being guided by discussions within the ontology community aimed at promoting interoperability. We will be inventorying laboratories, services, instruments, services, reagents, organisms, persons, protocols, human studies (metadata), tissue/biological sample repositories and training opportunities. The eagle-i application ontology is being used to drive our data tool and search applications, and is available in beta form from google code: http://code.google.com/p/eagle-i/
Melissa Haendel, Carlo Torniai
Melissa Haendel, Carlo Torniai
OntoMaton is a google spreadsheet application allowing for onto...
OntoMaton is a google spreadsheet application allowing for ontology search and tagging directly within google spreadsheets. More information can be found here: https://github.com/ISA-tools/OntoMaton
A Web service that tags free text with ontology concepts. NCBO ...
A Web service that tags free text with ontology concepts. NCBO uses these Web services to annotate resources in the NCBO Resource Index to create an ontology index of these resources. This Web service can be accessed through BioPortal or used directly in your software. Currently, the annotation workflow is based on syntactic concept recognition (using concept names and synonyms) and on a set of semantic expansion algorithms that leverage the semantics in ontologies (e.g., is_a relations). Our service methodology leverages ontologies to create annotations of raw text and returns them using semantic web standards.