QueryVerse AI - Research Data Analysis Access via NLP and AI-Driven Insights
Conference
D'Abruzzo, J, Reis, GM. (2025). QueryVerse AI - Research Data Analysis Access via NLP and AI-Driven Insights
. OCEANS 2017 - ABERDEEN, 10.23919/OCEANS59106.2025.11245010
D'Abruzzo, J, Reis, GM. (2025). QueryVerse AI - Research Data Analysis Access via NLP and AI-Driven Insights
. OCEANS 2017 - ABERDEEN, 10.23919/OCEANS59106.2025.11245010
Query Verse AI is presented as a cutting-edge research data platform that radically changes the way professionals examine and evaluate intricate datasets from many sources. It incorporates an AI-assisted query optimizer, a visual query builder, a collaborative research notebook, and a natural language query interface (NLPQueryInput) with automatic pattern and anomaly identification. These elements are combined in the platform's design to provide enterprisegrade security and compliance while facilitating proactive insight discovery, easy data querying, and effective execution plans. The following fundamentals of AI techniques and system architecture, including machine learning-driven query optimization and natural language query parsing will be discussed in-depth in this research paper. Alongside strong security measures (encryption, role-based access, and regulatory compliance), collaborative features like real-time multi-user editing and integrated version control are covered. Performance benchmarks show significant improvements in resource economy and query execution speed, with some systems up to 40% quicker than conventional systems. According to this study, Query Verse AI is a breakthrough in multi-source, AI-assisted research that democratizes data analysis and speeds up scientific discovery by skillfully fusing technical complexity with simplicity. (Abstract)
