DocumentCode
2626036
Title
Conflict Detection and Resolution in Merging of Topic Maps
Author
Chung, Hyun-Sook ; Kim, Jung-Min
Author_Institution
Chosun Univ., Seoul
fYear
2007
fDate
21-23 Nov. 2007
Firstpage
907
Lastpage
912
Abstract
Merging between topic maps describes the process of integrating two topic maps into a new topic map. In this paper, we propose a specific ontology merging process for integrating two source topic maps into a new topic map based on given semantic correspondences. Also, we define a taxonomy of merging conflicts which occur during the process of topic maps merging and a method for detecting and resolving them. Our experiments show that the automatic merging module compared with manual merging by an expert has advantages in terms of time and effort.
Keywords
merging; ontologies (artificial intelligence); automatic merging module; conflict detection; conflict resolution; ontology merging process; semantic correspondence; topic maps integration; topic maps merging; Data mining; Encyclopedias; ISO standards; Information resources; Information technology; Iterative algorithms; Merging; Navigation; Ontologies; Taxonomy;
fLanguage
English
Publisher
ieee
Conference_Titel
Convergence Information Technology, 2007. International Conference on
Conference_Location
Gyeongju
Print_ISBN
0-7695-3038-9
Type
conf
DOI
10.1109/ICCIT.2007.328
Filename
4420375
Link To Document