2 research outputs found
An MAS-Based ETL Approach for Complex Data
In a data warehousing process, the phase of data integration is crucial. Many
methods for data integration have been published in the literature. However,
with the development of the Internet, the availability of various types of data
(images, texts, sounds, videos, databases...) has increased, and structuring
such data is a difficult task. We name these data, which may be structured or
unstructured, "complex data". In this paper, we propose a new approach for
complex data integration, based on a Multi-Agent System (MAS), in association
to a data warehousing approach. Our objective is to take advantage of the MAS
to perform the integration phase for complex data. We indeed consider the
different tasks of the data integration process as services offered by agents.
To validate this approach, we have actually developed an MAS for complex data
integration.Comment: in 10th ISPE International Conference on Concurrent Engineering:
Research and Applications (CE 03), Madeira : Portugal (2003
An MAS-Based ETL Approach for Complex Data
Abstract: In a data warehousing process, the phase of data integration is crucial. Many methods for data integration have been published in the literature. However, with the development of the Internet, the availability of various types of data (images, texts, sounds, videos, databases...) has increased, and structuring such data is a difficult task. We name these data, which may be structured or unstructured, ”complex data”. In this paper, we propose a new approach for complex data integration, based on a Multi-Agent System (MAS), in association to a data warehousing approach. Our objective is to take advantage of the MAS to perform the integration phase for complex data. We indeed consider the different tasks of the data integration process as services offered by agents. To validate this approach, we have actually developped an MAS for complex data integration