A newborn development insights mining and recommendation system from scientific literature and clinical guidelines
In this short contribution we describe a method that is able to automatically retrieve relevant baby development content from scientific documents, including scientific papers and standard guidelines, and then to recommend parents automatically the most relevant personal advices, also known as insights, from the extracted knowledge. The system builds on recent technological developments on big data, knowledge engineering, and cognitive computing, in particular related to the task of extracting relations between conceptual entities in the data sources.
CONSOLI Sergio;
WOUTERS Kees;
OTTE Renee;
HEINRICH Adrienne;
2021-01-19
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JRC121456
1613-0073 (online),
http://ceur-ws.org/Vol-2759/paper3.pdf,
https://publications.jrc.ec.europa.eu/repository/handle/JRC121456,
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