J. Geller, Y. Perl, M. Halper, Z. Chen and H. Gu,
Evaluation and Application of a Semantic Network
Partition,
IEEE Transactions on Information Technology in
Biomedicine, 6(2), pp. 109-115, 2002.
Abstract: Semantic
networks are excellent knowledge representation
structures.However, large semantic networks are hard to
comprehend. To overcome this difficulty, several methods
of partitioning have been developed which rely on
different mixes of structural and semantic methods.
However, little has appeared in the literature
concerning the question whether a partition of a
semantic network creates subnetworks that agree with
human in-sight. We address this issue by presenting a
comparison between the results of an algorithmic
partitioning method and a partition created by a group
of experts. Subsequently, we show how a network
partition can be used to generate various partial views
of a semantic network, which facilitate user
orientation. Examles from the UMLS Semantic Network are
used to demonstrate partial views. |
