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Journal articles
Flexible Querying of Web data to Simulate Bacterial Growth in Food
Abstract : A preliminary step in microbial risk assessment in foods is the gathering of experimental data. In the framework of the Sym'Previus project, we have designed a complete data integration system opened on the Web which allows a local database to be complemented by data extracted from the Web and annotated using a domain ontology. We focus on the Web data tables as they contain, in general, a synthesis of data published in the documents. We propose in this paper a flexible querying system using the domain ontology to scan simultaneously local andWeb data, this in order to feed the predictive modeling tools available on the Sym'Previus platform. Special attention is paid on the way fuzzy annotations associated with Web data are taken into account in the querying process, which is an important and original contribution of the proposed system.
Cited literature [31 references]
https://hal-lirmm.ccsd.cnrs.fr/lirmm-00538961
Contributor : Patrice Buche Connect in order to contact the contributor
Submitted on : Friday, May 29, 2020 - 2:14:26 AM
Last modification on : Monday, October 11, 2021 - 1:24:06 PM
Contributor : Patrice Buche Connect in order to contact the contributor
Submitted on : Friday, May 29, 2020 - 2:14:26 AM
Last modification on : Monday, October 11, 2021 - 1:24:06 PM
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IJFM2010_GreenV2_2.pdf
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