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Please use this identifier to cite or link to this item: http://hdl.handle.net/1812/379

Title: ONTOLOGY-BASED APPROACH FOR RESOLVING SEMANTIC SCHEMA CONFLICTS IN THE INTEGRATION OF WEB DATA SOURCES
Authors: Hajmoosaei, A.
Abdul-Kareem, S.
Keywords: Semantic schema heterogeneity
Ontology
Web data integration
Issue Date: 2007
Abstract: Many information systems and data sources are now accessible through the internet. Each information system on the web is modeled and implemented differently according to the requirements of the application domain. The access, retrieval and utilization of information from the different data sources impose a need for the data to be integrated (web data integration process). Web data integration is a complex process because of the heterogeneity nature of web data. There are many types of heterogeneity and differences among web sources that makes data integration a difficult process (e.g., different data model, different syntax and semantic in schema and data instance level among web sources). Semantic schema heterogeneity, which refers to the misinterpretation of data at the schema level, is one major obstacle that needs to be overcome. Semantic schema heterogeneity has been identified as one of the most important problems when dealing with interoperability and cooperation among multiple data sources on the internet. In this paper, we focus on resolving the problems of semantic schema heterogeneity and recommend an approach and system architecture for semantic schema integration for web data sources. We propose ontology as a solution for the reconciliation of semantic conflicts between web data at the schema level.
Description: Proceeding of the 2nd International Conference on Informatics (Informatics 2007), 27th-28th November 2007, Hilton Petaling Jaya Hotel, Petaling Jaya, Selangor, Malaysia. Page T3-77 - T3-86
URI: http://dspace.fsktm.um.edu.my/handle/1812/379
ISBN: 978-983-43491-1-0
Appears in Collections:Informatics 2007

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