GenAI-Powered Knowledge Graphs for Enterprise Intelligence and Secure Data Interoperability

Authors

  • Sree Kiran Kanchanapally

Keywords:

Enterprise Knowledge Graph; Retrieval-Augmented Generation; Verifiable Credentials; Zero-Trust Architecture; Data Interoperability.

Abstract

Enterprises increasingly rely on generative AI, yet fragmented schemas, siloed stores, andinconsistent governance limit factuality, traceability, and secure cross-domain exchange. Thispaper proposes a GenAI-powered Enterprise Knowledge Graph (EKG) stack that tightlycouples large language models (LLMs) with standards

References

1. V. Zhong, C. Xiong, R. Socher Seq2SQL: Generating structured queries from natural language using reinforcement learning (2017)

Downloads

Published

2023-11-20

How to Cite

Sree Kiran Kanchanapally. (2023). GenAI-Powered Knowledge Graphs for Enterprise Intelligence and Secure Data Interoperability . Journal of Computational Analysis and Applications (JoCAAA), 31(4), 3067–389. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/5714

Issue

Section

Articles