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Agent Oriented Data Integration

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Perspectives in Conceptual Modeling (ER 2005)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3770))

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Abstract

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.

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Gal, A., Segev, A., Tatsiopoulos, C., Sidiropoulos, K., Georgiades, P. (2005). Agent Oriented Data Integration. In: Akoka, J., et al. Perspectives in Conceptual Modeling. ER 2005. Lecture Notes in Computer Science, vol 3770. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11568346_12

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  • DOI: https://doi.org/10.1007/11568346_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29395-8

  • Online ISBN: 978-3-540-32239-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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