Evaluation and application of a semantic network partition
Geller, J.
Perl, Y.
Halper, M.
Zong Chen
Huanying Gu
Comput. Sci. Dept, New Jersey Inst. of Technol., Newark, NJ, USA;
This paper appears in: Information Technology in Biomedicine, IEEE Transactions on
Publication Date: June 2002
Volume: 6,
Issue: 2
On page(s): 109-115
ISSN: 1089-7771
References Cited: 12
CODEN: ITIBFX
INSPEC Accession Number: 7303489
Digital Object Identifier: 10.1109/TITB.2002.1006297
Current Version Published: 2002-08-07
Abstract
Semantic networks (SNs) are excellent knowledge representation structures. However, large semantic networks are difficult to comprehend. To overcome this difficulty, several methods of partitioning have been developed that 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 insight. 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. Examples from the Unified Medical Language System (UMLS) SN are used to demonstrate partial views.
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