Title :
Conflict Detection and Resolution in Merging of Topic Maps
Author :
Chung, Hyun-Sook ; Kim, Jung-Min
Author_Institution :
Chosun Univ., Seoul
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;
Conference_Titel :
Convergence Information Technology, 2007. International Conference on
Conference_Location :
Gyeongju
Print_ISBN :
0-7695-3038-9
DOI :
10.1109/ICCIT.2007.328