EmpiRE-Compass: A Neuro-Symbolic Dashboard for Sustainable and Dynamic Knowledge Exploration, Synthesis, and Reuse
Oliver Karras, Amirreza Alasti, Lena John, Sushant Aggarwal, Y\"ucel Celik

TL;DR
EmpiRE-Compass is a neuro-symbolic dashboard that enhances the accessibility, reproducibility, and reuse of literature reviews in software and requirements engineering by structuring data in knowledge graphs and leveraging large language models.
Contribution
It introduces a modular neuro-symbolic system that integrates research knowledge graphs with LLMs to improve sustainability and accessibility of secondary studies.
Findings
Provides exploratory visual analytics for curated questions
Enables dynamic synthesis for custom questions
Open-source platform fostering reuse and extension
Abstract
Software engineering (SE) and requirements engineering (RE) face a significant increase in secondary studies, particularly literature reviews (LRs), due to the ever-growing number of scientific publications. Generative artificial intelligence (GenAI) exacerbates this trend by producing LRs rapidly but often at the expense of quality, rigor, and transparency. At the same time, secondary studies often fail to share underlying data and artifacts, limiting replication and reuse. This paper introduces EmpiRE-Compass, a neuro-symbolic dashboard designed to lower barriers for accessing, replicating, and reusing LR data. Its overarching goal is to demonstrate how LRs can become more sustainable by semantically structuring their underlying data in research knowledge graphs (RKGs) and by leveraging large language models (LLMs) for easy and dynamic access, replication, and reuse. Building on two…
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Taxonomy
TopicsScientific Computing and Data Management · Advanced Graph Neural Networks · Artificial Intelligence in Healthcare and Education
