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Degree

Master of Computer Science, Miami University, Computer Science and Systems Analysis, 2009.

Abstract

Research in ontology visualization provides software tools for ontology users to understand the structure of and to navigate through the complexity of a large ontology. OntoSELF was previously developed to provide a sophisticated user the ability to combine various weighting and filtering options to create a 3D ontology visualization. The inexperienced user, however, may have difficulty using OntoSELF since it requires mastery of technical details to produce the desired visualization. To allow novice users to easily perform topology understanding tasks on ontologies, the topology query (TQ) system OntoSELF+TQ has been developed. Users of OntoSELF+TQ can specify characteristics and constraints on components of the ontology to produce a visualization that helps them better understand the topology of the ontology. The querying capabilities of OntoSELF+TQ are demonstrated and evaluated through a small user study and system performance evaluations that exercise a wide variety of queries for numerous tasks common to understand ontologies.

Keywords

ontology; visualization; software

Committee / Advisors

Valerie Cross, PhD (Advisor)
James Kiper, PhD (Committee Member)
Eric Bachmann, PhD (Committee Member)

Document number: miami1241191230
Permalink: http://rave.ohiolink.edu/etdc/view?acc_num=miami1241191230

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