Structuring knowledge bases using automatic learning

The need to add an automatic learning phase to the construction process of a knowledge base is stressed. This work introduces a new technique based on machine learning methodologies which automatically creates a particular knowledge representation structure called knowledge space, from which common generalizations of knowledge objects may be efficiently inferred. Also introduced are some of the improved and added processing capabilities made possible by this structure