Other names: NDDO
Neurodegenerative Disease Data Ontology (NDDO) is an ontology for describing data on neurodegenerative disease patients.
OntoDM is a generic ontology for the domain of data mining. The ontology includes the information processing processes that occur in the domain of data mining, participants in the processes and their ...
OntoDM-KDD is an ontology for representing data mining investigations. Its goal is to allow the representation of knowledge discovery processes and be general enough to represent the data mining inves ...
The CTO-NDD stands for Clinical Trial Ontology-Neurodegenerative Diseases, which was built with the purpose of organizing the knowledge domain of clinical trials in neurodegeneration field. This resou ...
The SENSO ontology is designed to provide classification terms for labeling sensitive data for data archival and sharing.
Concepts, definitions, terms, and resources for standardized description of a microarray experiment in support of MAGE v.1.
This ontology 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 gene ...
OntoDM-algorithms is an ontology for data mining and machine learning entities.
The Disease Ontology has been developed as a standardized ontology for human disease with the purpose of providing descriptions of human disease terms, phenotype characteristics and related medical vo ...
An ontology for describing both human infectious diseases caused by microbes and the diseases that is related to microbial infection.
An ontology for describing biological activities of natural products.
An ontology for describing microbial phenotypes
The Alzheimer Disease & Frontotemporal Dementia Mutation Database (AD&FTDMDB) aims at collecting all known mutations in the genes related to Alzheimer disease (AD) and fromtotemporal dementias (FTD). ...
Monarch Disease Ontology. A semi-automatically constructed ontology that merges in multiple disease resources to yield a coherent merged ontology.
The Ontology for General Medical Science (OGMS) is an ontology of entities involved in a clinical encounter. OGMS includes very general terms that are used across medical disciplines, including: 'dise ...
The ontology for Biobanking (OBIB) is an ontology built for annotation and modeling of biobank repository and biobanking administration. It is developed based on subset of Ontology for Biomedical Inve ...
Cell Culture Ontology (CCONT) is an ontology for the formal representation of cell lines and their corresponding culture conditions.
InBiodiv-O: An Ontology for Indian Biodiversity Knowledge Management
A subset of ontology classes and properties for connecting rare disease data in the context of creating FAIR rare disease data 'at the source'. The aim is to facilitate data annotation at the source i ...
An ontology for describing the phenology of individual plants and populations of plants, and for integrating plant phenological data across sources and scales.
An application ontology for malaria extending the infectious disease ontology (IDO). With about half a billion cases, of which nearly one million fatal ones, malaria constitutes one of the major infec ...