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Contract / grant for group Artificial Intelligence and Inference Systems


E DOT


Jan 2003 - Jan 2005

Group : Artificial Intelligence and Inference Systems
Principal investigator : 

Administrator : 
Affiliation : 



The goal of the e.dot project is to develop an XML warehouse for information concerning food safety risk analysis and management.
One key point of this project is that for constituting the XML warehouse, we are guided by a pre-existing ontology that was designed by INRA people as the uniform schema of their data, in order to acquire relevant documents from the Web, transform them into semantically enriched XML documents (using ontology terms as element tags). We started by specifying and implementing the different functionalities and modules that are necessary to meet the application needs and to take advantage of existing application knowledge (ontologies) and data. These modules have been packaged and integrated in an open, service-oriented architecture composed of e.dot services for data acquisition and semantic enrichment, an e.dot XML warehouse for data storage (ActiveXML and Xyleme), and a graphical query interface (MIEL++) integrating this warehouse with several other pre-existing data sources. The service integration and warehouse definition process has been guided by using the SPIN approach and we are currently studying a new and more performant solution for the storage and querying of ActiveXML documents based on an integration of the ActiveXML system and the Xyleme product.

Research activities
  Information integration

Participants
SAÏS Fatiha


More information : http://gemo.futurs.inria.fr/projects/edot/
Contracts & grants
° SESAME DIGIPODS UPS
REMOTE COLLABORATIVE INTERACTION AMONG HETEROGENEOUS VISUALIZATION PLATFORMS
REGION IDF