By John Debenham
This booklet is a scientific and special description of a layout method for knowledge-based platforms. Such structures comprise wisdom in addition to details and knowledge. the data and knowledge may be modeled and carried out as a database, the data could be applied both in a programming language or in knowledgeable structures shell. The technique has precise positive factors: it truly is unified, i.e., it represents the knowledge, details, and data in a homogeneous demeanour, in addition to the relationships among them. additionally, it builds a upkeep mechanism into the design.
An added benefit of the ebook is its thorough therapy of constraints for wisdom and for knowledge-based structures. offering the cloth in either a proper and a realistic manner, it really is meant for practitioners in addition to researchers and complex students.
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Additional info for Knowledge Engineering: Unifying Knowledge Base and Database Design
These nodes are labelled with a body predicate name. There is an arc between each node labelled with a body predicate and the node labelled [G]. For rule [A] above the dependency diagram is shown in Fig. 13. Likewise a dependency diagram can be constructed for rule [B]. Further these two dependency diagrams can be shown on one combined diagram in which each predicate is shown as one node. The combined diagram for rules [A] and [B] is shown in Fig. 14. The combined diagram for a chunk of knowledge presents a more detailed view of the structure of that chunk than the corresponding cluster diagram.
11 A cluster, its fields and instances naturally associated with a set of labels then that knowledge thing may be represented by a set of thing-populations and relations that are a cluster. If a knowledge thing is an association between things that are not physical things and that are naturally associated with a set of labels then that knowledge thing may be represented by a set of name-populations and domains. These name populations and domains are fields. This set of name-populations and domains is afield set.
Consider also the chunk of raw expertise [E2] "the tax payable on a part is 10% of the product of the cost price of that part and the mark-up factor of that part". Both [EI] and [E2] have buried within them the subrule [E3] "the selling price of a part is the cost price of that part multiplied by the mark-up factor of that part". If the expertise represented in rule [E3] changes then both rule [EI] and rule [E2] should be modified. If rule [E3] has not been explicitly identified then rules [EI] and [E2] "share an unstated sub-rule between them" and consequently constitute a hidden maintenance hazard.
Knowledge Engineering: Unifying Knowledge Base and Database Design by John Debenham