Ontology of Data Mining

"The domain of data mining (DM) deals with analyzing different types of data. The data typically used in data mining is in the format of a single table, with primitive datatypes as attributes. However, structured (complex) data, such as graphs, sequences, networks, text, image, multimedia and relational data, are receiving an increasing amount of interest in data mining. A major challenge is to treat and represent the mining of different types of structured data in a uniform fashion.

Ontology for General Medical Science

"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: 'disease', 'disorder', 'disease course', 'diagnosis', 'patient', and 'healthcare provider'. OGMS uses the Basic Formal Ontology (BFO) as an upper-level ontology. The scope of OGMS is restricted to humans, but many terms can be applied to a variety of organisms. OGMS provides a formal theory of disease that can be further elaborated by specific disease ontologies.

Ontology for Drug Discovery Investigations

"The goal of DDI project is to develop an ontology for the description of drug discovery investigations. The Pharmaceutical industry is an information based industry. The aim of DDI is to add value to the information generated in the drug pipeline by making the information easier to reuse, integrate, curate, retrieve, and reason with. DDI aims to follow to the Open Biomedical Ontologies Foundry (OBO) principles, to use relations laid down in the OBO Relation Ontology, and to be compliant with Ontology for biomedical investigations (OBI)."

Mental Functioning Ontology

"The Mental Functioning Ontology is an ontology for mental functioning, including mental processes such as cognition and traits such as intelligence, and related diseases and disorders. It is developed in the context of the Ontology for General Medical Science and the Basic Formal Ontology. The project is being developed in collaboration between the University of Geneva, Switzerland, and the University at Buffalo, USA. The project is being developed with full involvement of all relevant communities, following best practices laid out by the OBO Foundry.

Neurobehavior Ontology

"The Neurobehavior Ontology (NBO) consists of two main components, an ontology of behavioral processes and an ontology of behavioral phenotypes. The behavioral process branch of NBO contains a classification of behavior processes complementing and extending GO’s process ontology. The behavior phenotype branch of NBO consists of a classification of both normal and abnormal behavioral characteristics of organisms. NBO’s prime application is to provide the vocabulary that is required to integrate behavior observations within and across species.

NanoParticle Ontology for Cancer Nanotechnology Research

"Data generated from cancer nanotechnology research are so diverse and large in volume that it is difficult to share and efficiently use them without informatics tools. In particular, ontologies that provide a unifying knowledge framework for annotating the data are required to facilitate the semantic integration, knowledge-based searching, unambiguous interpretation, mining and inferencing of the data using informatics methods.

Mobile Genetic Element Ontology

"MeGO is a Gene Ontology under construction dedicated to the functions of mobile genetic elements. The terms defined in MeGO are used to annotate phage and plasmid protein families in ACLAME.
Please note that some terms in the ontology are there transiently as markers or awaiting future incorporation in the sequence ontology (SO). The phage ontology PhiGO has now been incorporated in MeGO and can thus be accessed in MeGO version 1.0 and up."

Neglected Tropical Disease Ontology

"The Neglected Tropical Diseases (NTDs) are a set of diseases which persist in exactly the physical, psychosocial and economic situation of the poorest, most marginalized populations of the developing world. Most NTDs diseases are chronic diseases which are related to poverty as a promoter of parasitic, bacterial, and also viral or fungal infections. Although of major healthcare impact in developing and threshold countries NTDs are still seen as a rare event in developed countries.