Exact(1)
Relevant international authorities (e.g., EC JRC, ECVAM, EPA, FDA) and industry organisations participate actively in the advisory board of the OpenTox project and provide input for the continuing development of requirement definitions and standards for data, knowledge and model exchange.
Similar(59)
well defined standards for the exchange of data, knowledge, models and algorithms.
Modeling and simulation have emerged as important tools for integrating data, knowledge, and mechanisms to aid in arriving at rational decisions regarding drug use and development.
For data and knowledge organization, an ontology of categorical and factual knowledge about the conservation and diagnosis of heritage objects and the examination techniques based on laser technologies was created.
Yet it also offers many intriguing possibilities for new forms of collaboration, data, knowledge production, funding, and serving public needs.
The vision, then, is to do for data and knowledge what Moore's Law has done for computing hardware — that is, quantitative changes become qualitative transformations.
Therefore, a useful web service discovery approach for data and knowledge discovery process in the complex network environment is a very significant issue.
Finally, data from the Harding Survey that focused on capacity development and leadership on HRBAP for UNICEF staff (see section 2.1.5 for more details on the survey) was used as a basis for data on knowledge and understanding of HRBAP.
Systems pharmacology model is a powerful tool for data and knowledge integration for hypothesis testing, as well as for providing a quantitative understanding of a pharmacological target or pathway and for testing "what‐if" scenarios that may not be obtained experimentally.
A software platform for data-mining knowledge discovery process generally involves 3-components i.e. data repository, data-mining knowledge discovery engine, query interface [12, 39].
Clustering is an important tool for data mining and knowledge discovery.
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