The part where the paper mentions about, "if the user prefers a dense discussion of images and ... tangential reference to networking ...", reminded me of secondary keyword search within a keyword search. And as depicted in the figures, it provides multiple keyword search.
In Figure 3, what does the numbers next to the rectangles mean? It seems like an accumulated number. As I read through further, I was able to learn that the numbers indicated document IDs.
As a result of a query in Fig 3, is the result sorted? By looking at Figure 5, the result is definitely not sorted. In fact, the paper later on talks about the results not being sorted other than the document ID number. It seems that they had a hard time figuring out how to sort the results. Also, I wonder why there are rectangles with no dark squares inside. In Figure 3, if the queries are about "law And legal attorney lawsuit" and "network lan", why would the first two results show up that have almost no darker squares in the rectangle? Although the paper mentions about blending the corresponding tiles together may produce lightly colored tiles and large areas of white space for scattered discussions, it is not informative to see a white space in the rectangle.
However, it's clever to have the vertical scrolling bar at left while in general, scroll bars are set to the right side of the page.
Overall, it is a system that reaches its goal to visualize the relative length of the document, the frequency of the term sets and the distribution of the term sets.
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