@INPROCEEDINGS { Rsds4629,
author = {Nowak-Brzezińska, Agnieszka and Siminski, Roman and Wakulicz-Deja, Alicja}, 
title = {Two-way optimizations of inference for rule knowledge bases}, 
booktitle = {Procedings of the Workshop in Concurrency, Specification and Programming (CS&P'2008)}, 
series =  = {Informatik Berichte Nr. 225}, 
volume = 3, 
pages = {398--409}, 
publisher = {Humboldt Universitat zu Berlin}, 
address = {Berlin, Germany}, 
month = {September}, 
year = 2008, 
editor = {Lindemann, Gabriela and Schlingloff, Holger and Burkhard, Hans Dieter and Czaja, Ludwik and Penczek, Wojciech and Salwicki, Andrzej and Skowron, Andrzej and Suraj, Zbigniew}, 
abstract = {In this paper we consider the problem of improving the efficiency of inference in large rule bases. This paper presents, how we may build a modular, hierarchically organized rule base using cluster analysis method â€” for forward inference and decision units method â€” for backward inference. We describe how to perform inference on rules clusters and decision units, we estimate complexity of rule base reorganization algorithms. Next we present first experiments results made on a real-world rule bases and finally we present conclusions and future works goals.}, 
keywords = {composited knowledge bases, knowledge representation, clusters of rules, decision units, }, 
}