An Active XML-based framework for integrating complex data
Author(s) -
Rashed Salem,
Omar Boussaïd,
Jérôme Darmont
Publication year - 2012
Publication title -
hal (le centre pour la communication scientifique directe)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.1145/2245276.2245449
Subject(s) - computer science , data warehouse , data integration , xml , exploit , data modeling , database , data mining , data science , world wide web , computer security
Data integration is a critical problem in data warehousing and decision-support systems. Traditional data integration systems are very successful in integrating structured data, but structured data represent only a small subset of interesting data that could be warehoused by many enterprises. Current data integration systems also lack of self-managing capabilities. Therefore, we propose a data integration framework for integrating complex data actively. The purpose of our framework is twofold. Firstly, it integrates complex data using Web standards into an Active XML (AXML) repository. Secondly, beside warehousing logged events into event repository, it exploits active rules and framework events mining to self-manage, automate and activate different data integration tasks. Finally, we have implemented a prototype framework as a web application.
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