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ISWC '02 Proceedings of the First International Semantic Web Conference on The Semantic Web
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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)
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ICDCS '96 Proceedings of the 16th International Conference on Distributed Computing Systems (ICDCS '96)
The description logic handbook: theory, implementation, and applications
The description logic handbook: theory, implementation, and applications
LA-WEB '03 Proceedings of the First Conference on Latin American Web Congress
MDSManager: A System Based on Multidatasource Approach for Data Integration
WI '05 Proceedings of the 2005 IEEE/WIC/ACM International Conference on Web Intelligence
IT Professional
Damia: a data mashup fabric for intranet applications
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Damia: data mashups for intranet applications
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Information Fusion
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IEEE Internet Computing
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DESRIST'13 Proceedings of the 8th international conference on Design Science at the Intersection of Physical and Virtual Design
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This paper describes a process for mashing heterogeneous data sources based on the Multi-data source Fusion Approach (MFA) (Nachouki and Quafafou, 2008 [52]). The aim of MFA is to facilitate the fusion of heterogeneous data sources in dynamic contexts such as the Web. Data sources are either static or active: static data sources can be structured or semi-structured (e.g. XML documents or databases), whereas active sources are services (e.g. Web services). Our main objective is to combine (Web) data sources with a minimal effort required from the user. This objective is crucial because the mashing process implies easy and fast integration of data sources. We suppose that the user is not expert in this field but he/she understands the meaning of data being integrated. In this paper, we consider two important aspects of the Web mashing process. The first one concerns the information extraction from the Web. The results of this process are the static data sources that are used later together with services in order to create a new result/application. The second one concerns the problem of semantic reconciliation of data sources. This step consists to generate the Conflicts data source in order to improve the problem of rewriting semantic queries into sub-queries (not addressed in this paper) over data sources. We give the design of our system MDSManager. We show this process through a real-life application.