LLM-DRIVEN QUERY GENERATION FOR GRAPH-BASED BUSINESS INTELLIGENCE: TOWARDS A COLLABORATIVE KNOWLEDGE RETRIEVAL TOOL

This paper explores the use of large language models (LLMs) to support collaborative business intelligence in the tourism domain through two key tasks: extracting travel-related tags from user queries and generating Cypher queries for accessing knowledge graphs. We focus on evaluating the performan...

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Váldodahkkit:	Олександр СУТЯГІН, Ольга ЧЕРЕДНІЧЕНКО
Materiálatiipa:	Artigo
Giella:	Inglês
Almmustuhtton:	Khmelnytskyi National University 2025-12-01
Ráidu:	Компютерні системи та інформаційні технології
Fáttát:	Large Language Models Cypher Query Generation Knowledge Graphs Collaborative Business Intelligence Tourism Data Analysis Prompt Engineering
Liŋkkat:	https://csitjournal.khmnu.edu.ua/index.php/csit/article/view/485
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