Knowledge base management

Correlations between structure and mass spectra were established on the basis of multivariate analysis of the spectra, database searching, or the development of knowledge-based systems, some including explicit management of chemical reactions. 

As discussed in Chapter 2, most of the basic resources you will need are fairiy self-evident time of staff will almost certainly be the latgest single cost. Support expenses and travel also require funding. In addition, in the course of yourwork to date you may have identified specific resource requirements, such as computer software for hazard analysis or project management, or consulting services that fill in specific gaps in the knowledge base. 

The existing tools to carry out an IWRM may include hydraulic and hydrological models, water quality models as well as knowledge bases containing the necessary knowledge for the optimal management of water resources. Besides, these tools... 

J. Klaessens, T. Saris, B. Vandeginste and G. Kateman, Expert system for knowledge-based modelling of analytical laboratories as a tool for laboratory management. J. Chemometrics, 2 (1988)49-65. 

The company has extensive processing, analytical and testing laboratory facilities and expertise, and produces a range of engineering and data management software products, and computerised knowledge-based systems. 

Pharmacogenomics will increase the knowledge base about risks in relation to particular genotypes and potentially change the manner of disease management. Rather than start with the notion that the patient was in-... 

Flinn, P.W. and Hagstrum, D.W. 1990. Stored grain advisor A knowledge-based system for management of insect pests of stored grain. AI App. Nat. Res. Management 4, 44-52. 

Grant, R. M. 1996. Toward a knowledge-based theory of the firm. Strategic Management Journal, 17 (Special Issue) 109-122. 

METEOR S biotransformation rules are generic reaction descriptors, and the versatile structural representation used in the system allows each atom or bond to have specific physicochemical properties. This approach provides more details than simple hard-coded functional group descriptors (313), but this flexibility also can give rise to an avalanche of data. METEOR manages the amount of data by predicting which metabolites are to be formed rather than all the possible outcomes (310,312,314,315). At high certainty levels, when chosen, only the more likely biotransformations are requested. At lower likelihood levels, the more common metabolites are also selected for examination. Currently, METEOR knowledge-based biotransformations are exclusively for mammalian biotransformations (phase I and phase II) (314,315). 

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