By Nelson M. Mattos
This e-book addresses the improvement of a brand new iteration of structures, wisdom Base administration structures (KBMS), especially built for powerful and effective administration of information bases, with the purpose of filling a part of the technological hole among synthetic intelligence and databases. The booklet first investigates intimately the layout procedure, the structure, and the operating equipment of data dependent structures (KS) on the way to indicate the foremost features of the sphere in addition to its present boundaries, which serve then as foundation for an actual formula of KS necessities. An research and evaluate of different ways (e.g., traditional DBS, non-standard DBS, coupling professional platforms and DBS) to wisdom administration is given. The publication exhibits that during constructing KBMS, the adventure got by way of the research of every of those ways is very very important for the reason that they supply the elemental options for development KBMS. The techniques shouldn't be considered as whole and ultimate yet as a part of study paintings in the direction of KBMS. a unique structure is defined for KBMS which integrates the performance, flexibility and modeling energy of DBS and AI. the most a part of the booklet bargains with all vital architectural difficulties of KBMS: tools for wisdom illustration with exact emphasis on abstraction ideas, language proposals, and ideas for functionality development. The publication is predicated on useful event gathered over 5 years of winning examine in coupling present professional platforms and DBS, extending DBS with deductive services, and especially within the layout and implementation of a KBMS prototype. therefore the book's proposals are illustrated with specified descriptions in their cognizance in present platforms or prototypes.
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Extra info for An Approach to Knowledge Base Management
The use of this type of axis has occurred mostly to minimize storage requirements by allowing properties of generic typos to be inherited by more specialized ones. • Aggregation (part-of) Part-of arcs are used to relate an object to its components. For example, the parts of an automobile are motor, body, and wheels. The major drawback of network schemes has been the lack of a formal semantic and a standard terminology. This problem exists even in the most important constructs of these schemes (note, for example, the many existing meanings for the IS-A relationship [Br83]).
1 Generate-and-Test Generate-and-test, also called reasoning by elimination, translates the idea of considering all possible solutions to a particular goal, and rules out those with low plausibility. The idea behind this strategy is to prune the search space as early as possible so that the system can reduce its search activities. To do this, the knowledge engineer must partition the search space in such a way that early pruning can be achieved. The difficulty often found in this approach is that some- 50 times there is no practical way to consider all possible solutions to the goal at hand.
And secondly, the human problem solving process involves at least three types of knowledge: domain knowledge, heuristics, and problem solving strategy, organized on two or three levels, depending on the existence and use of meta knowledge or not. XPS follow this human model. They collect their "pieces" of knowledge in a separate entity, called knowledge base (KB), which is manipulated by a separate clearly identifiable reasoning component. 1). Consequently, almost the whole model of problem solving in the application domain is, in XPS, explicitly in view in the KB rather than appearing only implicitly as part of the coding of programs as in conventional computer science.
An Approach to Knowledge Base Management by Nelson M. Mattos