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Analysis of a hybrid semantic similarity metric's performance on different sized ontologies

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dc.contributor.advisor Janecek, Paul (Chairperson) en_US
dc.contributor.author Bakhtyar, Maheen en_US
dc.contributor.other Dailey, Matthew N. (Member) en_US
dc.contributor.other Phan Minh Dung (Member) en_US
dc.date.accessioned 2015-01-12T10:38:47Z
dc.date.available 2015-01-12T10:38:47Z
dc.date.issued 2010-05 en_US
dc.identifier.other AIT RSPR no.CS-10-03 en_US
dc.identifier.uri http://www.cs.ait.ac.th/xmlui/handle/123456789/155
dc.description Submitted in partial fulfillment of the requirements for the degree of Master of Sciences in Computer Science. en_US
dc.description.abstract Discovering the semantic similarity of concepts in ontology has been discussed in many studies with different types of approaches applied, but it does not explain and does not take into consideration the size of the ontology. If the semantic similarity methods are applied to a very huge ontology and then applied on a smaller one, the similarity metric may vary the result of same concept in two of the Ontologies. In this study this change in the results of the similarity metric is analyzed. Analysis of the ontology can be carried out in a number of ways e.g. in form of a matrix, charts and graphs etc but in this study Visualization tools and plug-ins are used to visualize the Ontologies and the results. Visualization always helps to focus on the important things and discarding the unnecessary details. en_US
dc.description.sponsorship University of Balochistan, Pakistan en_US
dc.language.iso eng en_US
dc.publisher Asian Institute of Technology en_US
dc.subject Semantic similarity en_US
dc.subject Ontology en_US
dc.subject WordNet en_US
dc.subject Dbpedia en_US
dc.subject OSS en_US
dc.subject.lcsh Others en_US
dc.title Analysis of a hybrid semantic similarity metric's performance on different sized ontologies en_US
dc.type Research Report en_US
dc.rights.holder Copyright (C) 2010 by Asian Institute of Technology. en_US


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