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Upper-Level ontology for Biology and Medicine. Compatible with BFO, DOLCE, and the UMLS Semantic Network

An ontology of histopathological morphologies used by pathologists to classify/categorise animal lesions observed histologically during regulatory toxicology studies. The ontology was developed using real data from over 6000 regulatory toxicology studies donated by 13 companies spanning nine species. The original structure of the histopathology ontology was designed ab initio when the [INHAND](http://www.goreni.org/) manuscripts were not available. However, the ontology has been repetitively reviewed and updated to align with the subsequently published INHAND manuscripts. During this process cross references to INHAND lesion identifiers were added to the ontology. [from GitHub]

DTO integrates and harmonizes knowledge of the most important druggable protein families: kinases, GPCRs, ion channels and nuclear hormone receptors.

DermO is an ontology with broad coverage of the domain of dermatologic disease and we demonstrate here its utility for text mining and investigation of phenotypic relationships between dermatologic disorders

It is an ontology model used to describe associations between biomedical entities in triple format based on W3C specification. OBAN is a generic association representation model that loosely couples a subject and object (e.g. disease and its associated phenotypes supported by the source of evidence for that association) via a construction of class OBAN:association. [from GitHub]

LogiCO contains the core concepts and properties used in the logistics domain, and mappings (as annotations) to UN/EDIFACTS Data elements.

An ontology that represents the basic knowledge of physical, chemical and functional characteristics of nanotechnology as used in cancer diagnosis and therapy.

The Annotation Ontology specification is currently used as input for the activities of the http://www.w3.org/community/openannotation/'>W3C Open Annotation Community Group that works towards a common, RDF-based, specification for annotating digital resources. The Group effort starts by working towards a reconciliation of two proposals that have emerged over the past two years: the http://code.google.com/p/annotation-ontology/'>Annotation Ontology and the http://www.openannotation.org/spec/beta/'>Open Annotation Model. Initially, editors of these proposals will closely collaborate to devise a common draft specification that addresses requirements and use cases that were identified in the course of their respective efforts. The goal is to make this draft available for public feedback and experimentation in the second quarter of 2012. The final deliverable of the Open Annotation Community Group will be a specification, published under an appropriate open license, that is informed by the existing proposals, the common draft specification, and the community feedback. [from homepage]

With the growing number of available genomes, the need for an environment to support effective comparative analysis increases. The original SEED Project was started in 2003 by the [Fellowship for Interpretation of Genomes (FIG)](http://thefig.info/) as a largely unfunded open source effort. Argonne National Laboratory and the University of Chicago joined the project, and now much of the activity occurs at those two institutions (as well as the University of Illinois at Urbana-Champaign, Hope college, San Diego State University, the Burnham Institute and a number of other institutions). The cooperative effort focuses on the development of the comparative genomics environment called the SEED and, more importantly, on the development of curated genomic data. This prefix provides identifiers for molecular roles that describe the function of one or more proteins in microbes and plants.