Can technologies like ChatGPT support life science researchers in exploring data they are not familiar with? This is the question our new Knowledge Representation unit investigated, through concrete examples from SIB’s leading open databases and software tools. They show the potential of conversational AI to describe datasets, as well as to generate and explain complex queries across datasets, i.e., federated knowledge graphs. Find out how these technologies can assist life science researchers in benefiting from the wealth of open data, how they can help make these data FAIR (Findable, Accessible, Interoperable, and Reusable), and reasons why caution should still be exercised in the process.
Sima A.C. and de Farias T.M., On the potential of artificial intelligence chatbots for data exploration of federated bioinformatics knowledge graphs, SeWebMeDa’23: 6th workshop on semantic web solutions for large-scale biomedical data analytics. Preprint available on arXiv.