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Knowledge base centralized

Storing business rules separated from data supports the creation of a centralized knowledge base a single point of authentic knowledge, which can be used at multiple sites and on different occasions, reducing maintenance and validation effort and costs. [Pg.18]

Auditing can be done more effectively at a single site, and decisions and decision paths are easy to explain since conclusions of the inference engine can be logged. [Pg.19]


Centralized knowledge-based system, knowledge-based initiatives, planning and compliance and can handle management of change (MOC). [Pg.368]

The central hypothesis of the knowledge-based approach [16, 17] is that pairwise contacts follow an exponential Boltzmann-like distribution [33] according to its interaction energy... [Pg.330]

If each datument has sufficient high-quality metadata, there may be no essential need for a knowledge base to be centralized. By collecting those publications of interest, any reader or group can create their own personal base. In turn, such metadata can be exported to a wider community using new mechanisms such as RDF or RSS (RDF Site Summary or Rich Site Summary, a way of collecting metadata of interest to an individual reader). [Pg.100]

It is of central importance in virtual screening to achieve a balanced description of hydrogen bonding and hydrophobic contributions to the score in order to avoid a bias toward either highly polar or completely hydrophobic molecules. Empirical scoring functions have the advantage that they can be quickly reparameterized to achieve such a balance, whereas such an adjustment is impossible with knowledge-based functions. Because this is such an important topic, we will illuminate it with a number of examples. [Pg.65]

Knowledge-based approaches in drug discovery constitute, in the postgenomic era, a systematic approach for the accelerated discovery of both protein targets and their ligands (1-7). Central to the... [Pg.173]

Demons and Variables. ALEX provides a three-tiered knowledge representation structure of contexts, demons, and variables. Contexts are top-level structures that isolate individual major areas of the problem under analysis. Demons are the central knowledge representation structure they are essentially frame-based information storage nodes with slots both to hold information on the content of the demon and to reflect the impact of one or more variables on the status of the demon. Variables may hold user-input, default, or calculated information. [Pg.138]

We also think that a logical next step for ASAP is to expand the knowledge base to deal with trends in the mass of data which is continuously being gathered at the Central Wastewater Plant. As KnowledgePro has database interface facilities, we feel that this capability could be implemented very easily. [Pg.149]

Two types of distance filtering were considered. In the first (filter 1), it was assumed that there is knowledge of the central two base pairs involved in recognition. Such information is commonly derived from experimental... [Pg.399]

Inference Engine. The inference engine is the central program which manipulates the rules and facts in the knowledge base to reach conclusions. The structure of the inference engine depends strongly upon the type of knowledge base which the expert system incor-... [Pg.9]

To conclude, we believe that Chemistry will have a central role in the transition towards a sustainable, competitive and knowledge-based economy and society. In combination with its own supplier and downstream sectors it may contribute decisively to improved economic and social welfare. [Pg.344]


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See also in sourсe #XX -- [ Pg.18 , Pg.19 ]




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