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On the Potential of Artificial Intelligence Chatbots for Data Exploration of Federated Bioinformatics Knowledge Graphs

arXiv 2304.10427 ↗First posted 20 Apr 2023cs.AIcited by 9

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Abstract (arXiv)

In this paper, we present work in progress on the role of artificial intelligence (AI) chatbots, such as ChatGPT, in facilitating data access to federated knowledge graphs. In particular, we provide examples from the field of bioinformatics, to illustrate the potential use of Conversational AI to describe datasets, as well as generate and explain (federated) queries across datasets for the benefit of domain experts.

Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). Builds on 2 of its 12 references that are in the map. First posted on arXiv 20 Apr 2023.

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2 of 12 references.

References · 2

  1. 2023LLaMA: Open and Efficient Foundation Language Modelscited by 13,958
  2. 2023ChatGPT versus Traditional Question Answering for Knowledge Graphs: Current Status and Future Directions Towards Knowledge Graph Chatbotscited by 47

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Citing papers per year: 2023: 2; 2024: 4; 2025: 3.

9 papers.