An Algorithmic Approach in Efficiently Maintaining Similar Versions of Knowledge

Abstract

In many applications, particularly in Agriculture, it is imperative to maintain different versions of the same knowledge either due to the need of depicting its evolution through time or because different versions can coexist with different valid times. In this paper we deal with the problem of maintaining simultaneously a set of different temporal knowledge bases, each of which has attached a spatial dimension i.e. a geographical area of interest. Based on the hypothesis that temporal knowledge bases corresponding to adjacent geographical areas have a small number of differences in their stored rules, we present proposals for maintaining these temporal knowledge bases, in a space efficient manner.