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http://dx.doi.org/10.3745/KIPSTD.2007.14-D.7.819

Topic maps Matching and Merging Techniques based on Partitioning of Topics  

Kim, Jung-Min (서울대학교 언론정보연구소)
Chung, Hyun-Sook (조선대학교 컴퓨터공학부)
Publication Information
The KIPS Transactions:PartD / v.14D, no.7, 2007 , pp. 819-828 More about this Journal
Abstract
In this paper, we propose a topic maps matching and merging approach based on the syntactic or semantic characteristics and constraints of the topic maps. Previous schema matching approaches have been developed to enhance effectiveness and generality of matching techniques. However they are inefficient because the approaches should transform input ontologies into graphs and take into account all the nodes and edges of the graphs, which ended up requiring a great amount of processing time. Now, standard languages for developing ontologies are RDF/OWL and Topic Maps. In this paper, we propose an enhanced version of matching and merging technique based on topic partitioning, several matching operations and merging conflict detection.
Keywords
Topic Map Matching; Topic Maps Merging; Ontology Merging; Topic Partitioning;
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