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

2023/04/20 by Ana-Claudia Sima, Sima, Ana-Claudia, Tarcisio Mendes de Farias +1 · 3 citations
Business, Management and Accounting · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FinTech, Crowdfunding, Digital Finance

paper · pdf · doi:10.48550/arxiv.2304.10427

openalex publication_date 2023/04/20 · openalex created_date 2023/04/24 · openalex updated_date 2026/07/28

Abstract

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.

Cited by

• SPARQL-LLM: Real-Time SPARQL Query Generation from Natural Language Questions
• MetaboT: An LLM-based Multi-Agent Frameworkfor Interactive Analysis of Mass SpectrometryMetabolomics Knowledge Graphs
• A large collection of bioinformatics question–query pairs over federated knowledge graphs: methodology and applications

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