The resulting calculation yields a frequency-weighted ontological distance between the two sets of concepts.
we view a text not as a set of items to be compared individually to those in another set (with those individual distances then somehow combined, e.g., as in Corley and Mihalcea [2005]), but rather as a distribution of "mass" within a graph that encodes the semantic relations across the two sets, and use a weighted graph-based approach that captures the aggregate distance between the two frequency masses.