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SSKG Hub: An Expert-Guided Platform for LLM-Empowered Sustainability Standards Knowledge Graphs
arXiv – CS AI|Chaoyue He, Xin Zhou, Xinjia Yu, Lei Zhang, Yan Zhang, Yi Wu, Lei Xiao, Liangyue Li, Di Wang, Hong Xu, Xiaoqiao Wang, Wei Liu, Chunyan Miao||5 views
🤖AI Summary
Researchers have developed SSKG Hub, an AI-powered platform that transforms complex sustainability disclosure standards into structured knowledge graphs using large language models and expert validation. The system features automated extraction, expert review processes, and role-based governance to create auditable, provenance-linked knowledge graphs for sustainability standards analysis.
Key Takeaways
- →SSKG Hub converts lengthy sustainability standards (GRI, SASB, TCFD, IFRS S2) into structured knowledge graphs using LLMs.
- →The platform employs a dual-layer system with Draft KGs from automated extraction and Certified KGs through expert validation.
- →Role-based governance framework ensures traceability and accountability across different user access levels.
- →The system supports cross-knowledge graph fusion and provides fine-grained audit metadata for transparency.
- →A publicly accessible web application is available at www.sskg-hub.com for sustainability standards analysis.
#sustainability#knowledge-graphs#llm#expert-systems#governance#audit-trail#research-platform#standards
Read Original →via arXiv – CS AI
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