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An ontology mapping framework

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dc.contributor.author Jittiya Kaewprag en_US
dc.date.accessioned 2015-01-12T10:39:55Z
dc.date.available 2015-01-12T10:39:55Z
dc.identifier.other AIT Thesis no.CS-03-22 en_US
dc.identifier.uri http://www.cs.ait.ac.th/xmlui/handle/123456789/265
dc.description Pathum Thani, Thailand : Asian Institute of Technology, 2003 en_US
dc.description 57 p. en_US
dc.description.abstract The Sem antic Web becomes ever more impor tant issue for the Web today. It relies strongly on formal ontologies to structure data for comprehensiv e and exchangeable machine understanding. Furthermore, inform ation on the Web is naturally distributed. Each information source uses its own ontology to represent its data. An interoperability problem among different information sources is therefore a challenge issue on the Semantic Web. One way to overcome that probl em is to provide a systematic way for mapping and merging ontologies. However, ther e are some limitations for recent related research. Most approaches are usually based on heuristic or syntactic clues to determine equivalence between ontologies. Thus, a ne w ontology mapping framework is proposed by applying a quantitative techni que called semantic similarity measure to compute a similarity value between two concepts. The se mantic similarity measure can be retrieved from properly combining three semantic factor s consisting of the shortest path length between two concepts, the depth and the info rmation content of a subsumer by using WordNet, an online lexical dictionary, as a semantic reference source. Besides, a new concept is also introduced, cal led the weight-based approac h, to support strong semantic relation word pairs by adding weight into seman tic similarity measures . Consequently, this technique displays a dramatic improvement over the previous research. Based on the proposed approach, the automa tic financial report mapping system is developed as a demonstration system of its practic al usage in a real-word domain.
dc.relation.ispartof Thesis no. CS-03-22 en_US
dc.relation.ispartof Asian Institute of Technology. Thesis no. CS-03-22 en_US
dc.subject Ontology en_US
dc.subject Heterogeneous computing en_US
dc.title An ontology mapping framework en_US
dc.type Thesis en_US


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