The authors propose the incompleteness factor (IF) method to improve the effectiveness of browsing in knowledge bases with missing data. The paper explains the whole method, which is based on certainty factors and cluster analysis. The experiments’ results conducted to obtain optimal parameters for the algorithm are presented. The evaluation is made by using recall, precision, F-measure and other factors.