Combined method of automated temporal information acquisition for development of knowledge bases of intelligent systems

We address the problems of the automated temporal knowledge acquisition for development of knowledge bases in dynamic intelligent systems based on the problem-oriented methodology and AT-TECHNOLOGY workbench. We review some features of the temporal version of combined knowledge acquisition method, including the extended knowledge representation language for temporal knowledge representation. We present modified Random Forest algorithm for temporal information extraction from databases and show it's application in AT-TECHNOLOGY workbench.