Machine Learning-based systems for the automation of systematic literature reviews in food safety domain

Project facts

Project promoter:
Warsaw University of Technology(PL)
Project Number:
PL-Applied Research-0019
Status:
In implementation
Initial project cost:
€1,197,167
Donor Project Partners:
Norwegian Institute of Public Health(NO)
Oslo Metropolitan University(NO)
Other Project Partners
National Institute of Public Health - National Institute of Hygiene(PL)
Tecna Sp. z o. o.(PL)
Programme:

Description

The main goal of the project is to provide a tool which will help the authorities and researchers to process a big amount of literature in a reasonable time. To achieve that goal the tool must be based on ontologies and various artificial intelligence techniques such as natural language processing and various types of classifiers.  To formulate the correct polices, the relevant institutions need to monitor the current state of knowledge in the particular field of interest. If the process of extracting knowledge is realized manually, it requires a lot of effort and time connected with searching for the potentially adequate literature, filtering the valuable positions and finally extracting the useful knowledge from the chosen sources. With the proposed tool it will be possible to save time and increase the efficiency of the literature review at each of the aforementioned steps. That in turn will enable the authorities researchers to formulate more accurate decisions in a shorter time. NIPH-NSCFE (donor partner) and NIPH-NIH (partner) will directly benefit by getting tools for facilitating systematic literature reviews they do routinely. The other partners will enhance their expertise in the field of artificial intelligence by providing advanced tools.

Information on the projects funded by the EEA and Norway Grants is provided by the Programme and Fund Operators in the Beneficiary States, who are responsible for the completeness and accuracy of this information.