If Don Swanson had used Athens for this task rather than a manual approach, he would have provided Athens with terms to describe what he knows or, rather, his focal topic—Raynaud’s Syndrome. Athens, using an iterative clustering approach, would discover content that is directly connected to Raynaud’s Syndrome—in this case, blood viscosity. Next, Athens would repeat this iterative clustering step, using blood viscosity as the starting point, in order to find content that is indirectly connected to the original topic of Raynaud’s Syndrome—in this case, fish oil. Thus, the final result is content that is two steps away from original topic area. It would be up to the user to hypothesize how Raynaud’s Syndrome and fish oil might be related.