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SLCO and DLCO: Two ontologies for detecting and resolving schema and data-level semantic conflicts

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3 Author(s)
Jing Wen ; Sch. of Comput. Sci. & Technol., Shandong Univ., Jinan, China ; Shidong Zhang ; Zhongmin Yan

Despite the critical importance of semantic interoperability between heterogeneous databases, current approaches have not been sufficiently effective and comprehensive. We propose an ontology-based solution, which use two kinds of ontologies called schema-level conflict ontology and data-level conflict ontology (SLCO and DLCO). SLCO and DLCO are two ontologies for detecting and resolving schema and data-level semantic conflicts respectively, which are more useful and effective than existing ontology-based approach. We show an algorithm which includes two main steps: first, use SLCO to detecting and resolving schema-level conflicts, and then use DLCO to detecting and resolving data-level conflicts. In addition, we present evaluation results to show that our solution can be successfully and effectively used to automate the process of identifying and resolving semantic conflicts.

Published in:

Information and Automation, 2009. ICIA '09. International Conference on

Date of Conference:

22-24 June 2009