We present a method for extracting parts of objects from wholes
(e.g. ``speedometer'' from ``car''). Given a very large corpus our
method finds part words with 55\%\ accuracy for the top 50 words as
ranked by the system. The part list could be scanned by an end-user
and added to an existing ontology (such as WordNet), or used as a part
of a rough semantic lexicon.