INTELLEKTUAL AXBOROT TIZIMLARIDA ONTOLOGIYAGA ASOSLANGAN GIBRID RAG ARXITEKTURASI
DOI:
https://doi.org/10.65164/vfrnmt57Keywords:
RAG (Retrieval-Augmented Generation), ontologiya, LLM, bilimlar bazasi, vektorli ma’lumotlar bazasi, semantik qidiruv, O-RAG algoritmi.Abstract
Ushbu maqolada axborot qidiruvi (RAG – Retrieval-Augmented Generation) tizimi va ontologiyaga asoslangan bilimlar bazasini birlashtirishdan iborat gibrid generativ model arxitekturasi taklif etiladi. Zamonaviy yirik til modellari (LLM) statik bilimlar bilan cheklanishi, gallyutsinatsiya hodisalari hamda domenga xos tushunchalarni tushunmaslik muammolarini bartaraf etish maqsadida ontologik graf strukturalari va dinamik RAG pipeline integratsiyasining samaradorligi eksperimental tarzda ko'rsatiladi. Taklif etilgan O-RAG (Ontology-enhanced RAG) algoritmi klassik RAG ga nisbatan aniqlikni 18,4% ga, semantik izchillikni esa 22,7% ga oshirishi isbotlangan. Kiberxavfsizlik va ta'lim tizimlari domenlarida o'tkazilgan sinov natijalari tahlil qilinadi.
References
1. Lewis P., Perez E., Piktus A., et al. Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks // Advances in Neural Information Processing Systems (NeurIPS). – 2020. – Vol. 33. – pp. 9459–9474.
2. Izacard G., Lewis P., Lomeli M., et al. Atlas: Few-shot Learning with Retrieval Augmented Language Models // Journal of Machine Learning Research. – 2023. – Vol. 24. – pp. 1–43.
3. Gruber T. A Translation Approach to Portable Ontology Specifications // Knowledge Acquisition. – 1993. – Vol. 5(2). – pp. 199–220.
4. Syed Z., Padia A., Finin T. UCO: A Unified Cybersecurity Ontology // Proceedings of AAAI Workshop on Artificial Intelligence for Cybersecurity. – 2016. – pp. 14–21.
5. Edge J., Trinh H., Cheng N., et al. From Local to Global: A Graph RAG Approach to Query-Focused Summarization // arXiv preprint. – 2024. – arXiv:2404.16130.
1582
6. Pan J., Sheng S., Xu Y., et al. Unifying Large Language Models and Knowledge Graphs: A Roadmap // IEEE Transactions on Knowledge and Data Engineering. – 2024. – Vol. 36(7). – pp. 3580–3599.
7. Bordes A., Usunier N., Garcia-Duran A., Weston J. Translating Embeddings for Modeling Multi-relational Data // NeurIPS. – 2013. – Vol. 26. – pp. 1–9.
8. Cormack G., Clarke C., Buettcher S. Reciprocal Rank Fusion Outperforms Condorcet and Individual Rank Learning Methods // SIGIR. – 2009. – pp. 758–759.
9. Es S., James J., Espinosa-Anke L., Schockaert S. RAGAS: Automated Evaluation of Retrieval Augmented Generation // EACL. – 2024. – pp. 150–163.
10. Noy N., McGuinness D. Ontology Development 101: A Guide to Creating Your First Ontology // Stanford Knowledge Systems Laboratory. – 2001. – Technical Report KSL-01-05.
