The family of terminological representation systems has its roots in t
he representation system KL-ONE. Since the development of KL-ONE more
than a dozen similar representation systems have been developed by var
ious research groups. These systems vary along a number of dimensions.
In this paper, we present the results of an empirical analysis of six
such systems. Surprisingly, the systems turned out to be quite divers
e, leading to problems when transporting knowledge bases from one syst
em to another. Additionally, the runtime performance of different syst
ems and knowledge bases varied more than we expected. Finally, our emp
irical runtime performance results give an idea of what runtime perfor
mance to expect from such representation systems. These findings compl
ement previously reported analytical results about the computational c
omplexity of reasoning in such systems.