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Conflict Detection and Resolution in Merging of Topic Maps

Paper, was published by Hyunsook Chung and Jung-Min Kim at 2007-11-21

This paper proposes a specific ontology merging process for integrating two source topic maps into a new topic map.

External Link: IEEE record

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.

References:

Hyun-Sook Chung, Jung-Min Kim, “Conflict Detection and Resolution in Merging of Topic Maps,” iccit, pp.907-912, 2007 International Conference on Convergence Information Technology (ICCIT 2007), 2007

Authors

Hyunsook Chung

No contact information available. 

Signet_person

Hyunsook is author of Topic Maps Matching.. and Conflict Detection and.. .

Jung-Min Kim

No contact information available. 

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Jung-Min is author of A methodology for.. , Topic Maps Matching.. , Conflict Detection and.. , and Schema and constraints-based.. .

glossary

TMRM

is associated with {{count}} items.

Signet_glossary

TMRM is the abbreviation for Topic Maps Reference Model.

 

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