MSQL: a multidatabase language
Information Sciences: an International Journal
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XML-based information mediation with MIX
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Report on WebDB'2000: 3rd international workshop on the Web and databases
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Petri Net Theory and the Modeling of Systems
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The VLDB Journal — The International Journal on Very Large Data Bases
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A survey of approaches to automatic schema matching
The VLDB Journal — The International Journal on Very Large Data Bases
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Data & Knowledge Engineering - Special issue: Data integration over the Web
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WWW '03 Proceedings of the 12th international conference on World Wide Web
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ADC '03 Proceedings of the 14th Australasian database conference - Volume 17
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RIDE '95 Proceedings of the 5th International Workshop on Research Issues in Data Engineering-Distributed Object Management (RIDE-DOM'95)
Scaling heterogeneous databases and the design of Disco
ICDCS '96 Proceedings of the 16th International Conference on Distributed Computing Systems (ICDCS '96)
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WI '04 Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence
MDSManager: A System Based on Multidatasource Approach for Data Integration
WI '05 Proceedings of the 2005 IEEE/WIC/ACM International Conference on Web Intelligence
Semantic reconciliation in peer multi-data source management system
IDEAS '09 Proceedings of the 2009 International Database Engineering & Applications Symposium
MashUp web data sources and services based on semantic queries
Information Systems
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This paper describes a new approach of heterogeneous data source fusion. Data sources are either static or active: static data sources can be structured or semi-structured, whereas active sources are services. In order to develop data sources fusion systems in dynamic contexts, we need to study all issues raised by the matching paradigms. This challenging problem becomes crucial with the dominating role of the internet. Classical approaches of data integration, based on schemas mediation, are not suitable to the World Wide Web (WWW) environment where data is frequently modified or deleted. Therefore, we develop a loosely integrated approach that takes into consideration both conflict management and semantic rules which must be enriched in order to integrate new data sources. Moreover, we introduce an XML-based Multi-data source Fusion Language (MFL) that aims to define and retrieve conflicting data from multiple data sources. The system, which is developed according to this approach, is called MDSManager (Multi-Data Source Manager). The benefit of the proposed framework is shown through a real world application based on web data sources fusion which is dedicated to online markets indices tracking. Finally, we give an evaluation of our MFL language. The results show that our language improves significantly the XQuery language especially considering its expressiveness power and its performances.