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• Momis
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The Open Source MOMIS system (Mediator EnvirOnment for Multiple Information Sources) is a system able to aggregate data coming from heterogeneous data sources (structured and semi-structured) in a semi-automatic way, to bring out new information from apparently unrelated existing data.
The discovery of relationships between the schemas of the information sources exploits the semantics of the data sources, clustering techniques and description logics inferences.

The Open Source MOMIS system performs data integration following a virtual approach that preserves the autonomy and security of the original information sources.

MOMIS presents several advantages compared to its competitors:

• Virtual Approach: no centralized copy of data is needed
• Autonomy and Security of the original data sources is preserved
• Support to the integration designer facilitating the integration process
• Reduction of the integration process costs
• User-friendly query GUI

How it works >>

04/10/2017 DataRiver at Meet in Italy for Life Sciences

DataRiver will attend MEET IN ITALY FOR LIFE SCIENCES, the international matchmaking and update event on topical issues in Life Sciences held between the 11th to

22/09/2017 DataRiver presents the framework for the FSHD Registry

At the  fifth edition of the FSHD Conference, hosted on the 23rd of September in Modena, DataRiver will present the platform developed with UNIMORE Miogen Lab for the

07/09/2017 DataRiver at the 3rd RTSI International forum

DataRiver will attend the third Research and Technologies for Society and Industry (RTSI) International Forum, held between the 11th to the 13th of September 2017 at the Enzo Ferrari

24/06/2017 DataRiver’s activities appearing in Studies in Big Data series book

The research and development activities of DataRiver will appear in the chapter “From Data Integration to Big Data Integration” of the  book “A Comprehensive Guide Through