ontology

Systems Biology Ontology

"The Systems Biology Ontology is a set of controlled, relational vocabularies of terms commonly used in Systems Biology, and in particular in computational modelling. It consists of seven orthogonal vocabularies defining: reaction participants roles (e.g. "substrate"), quantitative parameters (e.g. "Michaelis constant"), classification of mathematical expressions describing the system (e.g. "mass action rate law"), modelling framework used (e.g. "logical framework"), the nature of the entity (e.g. "macromolecule"), the type of interaction (e.g.

Solar System SKOS Ontology Model

"This is an ontological knowledge organization system of the planets, dwarf planets, natural satellites, and small solar system bodies in the Solar System using the SKOS, Simple Knowledge Organization System, schema extended. The model defines resources in English, Spanish, Russian, and simplified Chinese. Each resource entry also contains definitions. This facilitates the generation of mono- or multi-lingual glossaries. The concept terms can be used to feed vocabularies to search applications.

Multiple Alignment Ontology

"The goal of the MAO project is to develop a controlled, structured vocabulary, that will provide a common language not only for the construction of multiple alignments, but also for the numerous applications that exploit the information available in an integrated, global multiple alignment of a protein family. An important issue in the development of MAO is the interoperability with existing information sources, in order to maximise its’ applicability and utility.

National Cancer Institute Thesaurus

"The NCI Thesaurus is a reference terminology and biomedical ontology used in a growing number of NCI and other systems. It covers vocabulary for clinical care, translational and basic research, and public information and administrative activities. The NCI Thesaurus provides definitions, synonyms, and other information on nearly 10,000 cancers and related diseases, 8,000 single agents and combination therapies, and a wide range of other topics related to cancer and biomedical research.

Kinetic Simulation Algorithm Ontology

"To enable the accurate and repeatable execution of a computational simulation task, it is important to identify both the algorithm used and the initial setup. These minimum information requirements are described by the MIASE guidelines. Since the details of some algorithms are not always publicly available, and many are implemented only in a limited number of simulation tools, it is crucial to identify alternative algorithms with similar characteristics that may be used to provide comparable results in an equivalent simulation experiment.

International Classification of External Causes of Injury

"ICECI is a free practical tool for classifying the circumstances in which injuries occur. Thus, it can be used in surveillance and research to support injury and trauma prevention and control efforts throughout the world. Using this tool, one can code the key factors that may be involved in causing injuries. Consequently, injuries can be both counted and described to yield useful information for setting priorities, making policy decisions, and guiding prevention.

Information Artifact Ontology

"The Information Artifact Ontology (IAO) is a new ontology of information entities, originally driven by work by the OBI digital entity and realizable information entity branch.
An information artifact is, loosely, a dependent continuant or its bearer that is created as the result of one or more intentional processes. Examples: uniprot, the english language, the contents of this document or a printout of it, the temperature measurements from a weather balloon."

Infectious Disease Ontology

"The IDO ontologies are designed as a set of interoperable ontologies that will together provide coverage of the infectious disease domain. At the core of the set is a general Infectious Disease Ontology (IDO-Core) of entities relevant to both biomedical and clinical aspects of most infectious diseases. Sub-domain specific extensions of IDO-Core complete the set providing ontology coverage of entities relevant to specific pathogens or diseases."

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