A more robust approach is to formally represent the semantics and allow the machine to process it to dynamically discover what the content means and how to use it — we call this machine processible semantics. This may be an impossible goal to achieve in its full generality, so we will restrict this discussion to the following specific question: How can a machine (i.e., software agent) learn something about the meaning of a term that it has never before encountered?