This talk will focus on our recent work in the identification of related documents from different corpora or discipline areas. The purpose of this work is to help a researcher or program manager to identify fruitful cross-disciplinary research areas. The talk will discuss some preliminary results that have been obtained using a small Science News (around 1200 articles) dataset. The work is predicated on new visualization environment to facilitate the exploration of the multi-class interpoint distance matrix. This work is joint with the Algotek Team in general and Edward J. Wegman of GMU and Avory Bryant of NSWCDD specifically.