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RWTH Aachen
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Rating of Discrimination Networks for Rule-based Systems

Year 2013

The amount of information stored in a digital form grows on a daily basis but is mostly only under- standable by humans, not machines. A way to enable machines to understand this information is using a representation suitable for further processing, e. g. frames for fact declaration in a Rule-based System. Rule-based Systems heavily rely on Discrimination Networks to store intermediate results to speed up the rule processing cycles. As these Discrimination Networks have a very complex structure it is important to be able to optimize them or to choose one out of many Discrimina- tion Networks based on its structural efficiency. Therefore, we present a rating mechanism for Discrimination Networks structures and their efficiencies. The ratings are based on a normalised representation of Discrimination Network structures and change frequency estimations of the facts in the working memory and are used for comparison of different Discrimination Networks regarding processing costs.

Details

Proceedings of the 2nd International Conference on Data Management Technologies and Applications (DATA 2013)

Presented at

2nd International Conference on Data Management Technologies and Applications, 2013 , Reykjavik , IS.

Published in

Proceedings of the 2nd International Conference on Data Management Technologies and Applications .

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