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Funding period

Showing all data for 2014–2021

Research Completed

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

Warsaw University of Technology ·Poland

€1.2m
Grant awarded
Applied Research
Programme
9 November 2020
Signed

About this project

<p>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. &nbsp;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.</p>

Bilateral cooperation results

The project consortium consisted of teams with complementary competences. This applies to both the Polish and Norwegian parts of the consortium. NSCFE is Norway's leading institution for food safety, which regularly conducts systematic reviews of the literature in this field. Oslo Metropolitan University is a leading institution in Norway that conducts advanced research in the artificial intelligence domain, in particular in the field of creating graph neural networks in data analysis. The competences of the Norwegian partners matched the needs related to the implementation of the project very well. The aim of the project was to develop an application supporting the work of experts performing systematic literature reviews in the field of food safety. When building such an application, it was important to obtain information related to the experience of people performing such reviews, both for the development of an appropriate user interface and for in-depth knowledge of the systematic literature review process. Collaborating with NSCFE made it possible to achieve both of these goals. The established partnership between Polish and Norwegian parts of the consortium provides for an excellent basement for future cooperation based on improved knowledge and mutual understanding, increased visibility, etc. Continued cooperation is planned. The REFSA team intends to apply for funding in order to upgrade the REFSA system by the module based on LLMs. The bilateral collaboration has a good potential to be extended to the regional and/or European level (towards EU and its institutions). The institutions that are part of the REFSA consortium plan to obtain financing for the continuation of research carried out under the EFSA project in Horizon Europe programs.

Project partners