Supporting Truly Multi-Dimensional Data Analysis

Determine a unified and flexible analytical framework and interaction mechanisms that support users in truly multi-dimensional exploratory data analysis across multiple perspectives and levels, including tasks such as analyzing competition, substitution, and complementarity among products within a product ecosystem.

Background

Within the Introduction, the authors review gaps in current research that integrates LLMs and Knowledge Graphs. They note that most existing work targets single, well-defined tasks (e.g., question answering), which is insufficient for complex exploratory scenarios that require multi-perspective, multi-level analysis.

The authors specifically highlight product ecosystem analysis as a motivating example (competition, substitution, and complementarity across products) and state that a unified and flexible framework to support truly multi-dimensional data analysis is still lacking, explicitly marking this as an open question.