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ACM Computing Surveys (CSUR)
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Journal of the ACM (JACM)
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IEEE Intelligent Systems
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ACM SIGMOD Record
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VLDB '91 Proceedings of the 17th International Conference on Very Large Data Bases
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WET-ICE '97 Proceedings of the 6th Workshop on Enabling Technologies on Infrastructure for Collaborative Enterprises
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Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
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International Journal of Web and Grid Services
IJCAI'93 Proceedings of the 13th international joint conference on Artifical intelligence - Volume 1
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MRC'05 Proceedings of the Second international conference on Modeling and Retrieval of Context
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Data integration is the process by which data from heterogeneous data sources are conceptually integrated into a single cohesive data set. In recent years agents have been increasingly used in information systems to promote performance. In this work we propose a modeling framework for agent oriented data integration to demonstrate how agents can support this process. We provide a systematic analysis of the process using real world scenarios, taken from email messages from citizens in a local government, and demonstrate two agent oriented data integration tasks, email routing and opinion analysis.