Dissertation/Thesis Abstract

Social Network Analysis Applied to Ontology 3D Visualization
by Yu, En, M.C.Sc., Miami University, 2008, 157; 10631476
Abstract (Summary)

OntoSELF was recently developed to provide 3D visualization of the underlying hierarchical structure of intensional ontologies. The extensions to OntoSELF focus on enhancing perception and facilitating high-level comprehension as well as low-level detail exploiting. The extensions include various visualization cues to enhance visualization perception, processing user-defined relationships in addition to the standard hierarchical IS-A relationship, user filtering on which relationships to include in the visualization, and social network analysis (SNA) metrics for additional filtering and structuring criteria, and for finding and better understanding important concepts of interest.

To use standard social network analysis (SNA) techniques, a preprocessing algorithm is used to project an m-mode n-plex ontology structure to a 1-mode 1-plex sociomatrix. A high-level abstraction algorithm based on the notion of "communities of interest" is provided to simplify the social network view of the ontology to a higher level of abstraction.

Indexing (document details)
Advisor: Cross, Valerie V.
Commitee: Kiper, James D., Ozden, Mufit
School: Miami University
Department: Computer Science and Systems Analysis
School Location: United States -- Ohio
Source: MAI 56/05M(E), Masters Abstracts International
Source Type: DISSERTATION
Subjects: Computer science
Keywords: 3D ontology visualization, OntoSELF, Ontology filtering, Ontology layout, Ontology visualization, Social network analysis
Publication Number: 10631476
ISBN: 9780355016987
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