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Transformation approach for consistency in object-oriented knowledge bases

Authors: Hsin-Hsen Yao; Hwa Soo Kim;

Transformation approach for consistency in object-oriented knowledge bases

Abstract

A knowledge base is consistent if all its data, information, or knowledge (regardless they are stored in database or implied by inference engine) satisfy the predefined constraints which represent a real world rules or restrictions. Maintaining knowledge consistency in an object-oriented knowledge base is difficult since (i) two data items in the knowledge base may have the relationship that is not explicitly represented by the inheritance; and (ii) logic programming trends to manipulate "flat" data. In contrast, it is easier to develp a mechanism for maintaining the consistency in a value-oriented system (e.g., relational database or logic programming) [Ullm87].

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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