Context interchange: new features and formalisms for the intelligent integration of information
ACM Transactions on Information Systems (TOIS)
Ontologies: a silver bullet for knowledge management and electronic commerce
Ontologies: a silver bullet for knowledge management and electronic commerce
Resolving semantic heterogeneity in schema integration
Proceedings of the international conference on Formal Ontology in Information Systems - Volume 2001
Learning to map between ontologies on the semantic web
Proceedings of the 11th international conference on World Wide Web
Formal Ontology in Information Systems: Proceedings of the 1st International Conference June 6-8, 1998, Trento, Italy
Generic Schema Matching with Cupid
Proceedings of the 27th International Conference on Very Large Data Bases
The Chimaera Ontology Environment
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Resolving Ontological Heterogeneity in the KRAFT Project
DEXA '99 Proceedings of the 10th International Conference on Database and Expert Systems Applications
IEEE Transactions on Knowledge and Data Engineering
An ontology-based reasoning approach for electric power utilities
RR'13 Proceedings of the 7th international conference on Web Reasoning and Rule Systems
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There are many external resources and heterogeneous data on the internet that an organization or user may need to improve the decision making process. It is therefore, very important and critical that this information are complete, precise and can be acquired on time. Most web sources provide data in semi-structured form on the internet. The combination of semi-structured data from different sources on the internet often fails because of syntactic and semantic differences. The access, retrieval and utilization of information from the different web data sources impose a need for the data to be integrated. Integration of web data is a complex process because of the heterogeneity nature of web data and thus needs some kind of a web data integration system. 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 semantics 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 in web data integration process. 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 recommend a system architecture for web data integration focusing on resolving the problems of semantic schema heterogeneity between web data sources. We propose an ontology-based approach as a solution for the reconciliation of semantic conflicts between web data at the schema level.