Abstract
Since many years, data integration has become a delicate task in the data-warehousing process. Indeed, the collected data (from various applications and existing in different forms) must be homogenized to meet several needs such as analytical activities. Today, organizations collect a huge mass of data which becomes more and more complex. Collected data have different types (text, video, image…) and are located in heterogeneous and dispersed sources. The complexity and the dispersion of this data return their integration, a difficult task that necessitates the use of efficient techniques and performed tools in order to provide a unified data source. Our objective is to take advantage of the agent software technology, in particular cooperative agents and mobile agents to perform the integration phase of complex data. This paper gives an overview about related works and presents a new approach for an intelligent integration of complex data based on cooperative and mobile agents.
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Gouasmia, K., Mefteh, W., Gargouri, F. (2023). Mobile and Cooperative Agent Based Approach for Intelligent Integration of Complex Data. In: Abraham, A., Pllana, S., Casalino, G., Ma, K., Bajaj, A. (eds) Intelligent Systems Design and Applications. ISDA 2022. Lecture Notes in Networks and Systems, vol 717. Springer, Cham. https://doi.org/10.1007/978-3-031-35510-3_30
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DOI: https://doi.org/10.1007/978-3-031-35510-3_30
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