In Personal Dataspace (PDS), documents containing a
lot of useful information play an important role in our daily
work. However, it is difficult to manage the information in these
documents efficiently. In this paper, we first extract some
frequent terms from documents, and then cluster these
documents based on the terms. Thus users can query the
documents based on their contents conveniently. The experiments
demonstrate the accuracy and efficiency of the key techniques in
our approach
