[go: up one dir, main page]
More Web Proxy on the site http://driver.im/ skip to main content
10.1007/978-981-97-5575-2_40guideproceedingsArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
Article

Graphologue: Bridging RDBMS and Graph Databases with Natural Language Interfaces

Published: 02 September 2024 Publication History

Abstract

We propose a novel graph database system that overcomes existing limitations by integrating relational databases, unifying RDF and property graph data models, and incorporating large language models and natural language processing. Graphologue, our system, leveraging openGauss, enhances scalability and performance compared to traditional graph databases. The integration of RDF and property graph models enables flexible data modeling, combining expressiveness and flexibility. We introduce large language models to simplify query generation using natural language, reducing complexity. Additionally, we employ natural language processing to generate graphs from unstructured data, enhancing inclusiveness. Our research aims to advance graph database technology, offering a unified and user-friendly solution for efficient data analysis and querying in interconnected environments.

References

[1]
Liu, B., et al.: Unikg: a unified interoperable knowledge graph database system. In: 2021 IEEE 37th International Conference on Data Engineering (ICDE), IEEE (2021)
[2]
Liu B et al. KGDB: knowledge graph database system with unified model and query language Int. J. Softw. Inf. 2021 11 1 91-116
[3]
Heyi, Z.H., Xin, W., Lifan, H., Zhao, L.I., Zirui, C.H., Zhe, C.H.: Research on question answering system on joint of knowledge graph and large language models. J. Front. Comput. Sci. Technol. 17(10), 2377 (2023)
[4]
Pan, S., Luo, L., Wang, Y., Chen, C., Wang, J., Wu, X.: Unifying large language models and knowledge graphs: a roadmap (2023). arXiv preprint arXiv:2306.08302

Recommendations

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image Guide Proceedings
Database Systems for Advanced Applications: 29th International Conference, DASFAA 2024, Gifu, Japan, July 2-5, 2024, Proceedings, Part VII
Jul 2024
555 pages
ISBN:978-981-97-5574-5
DOI:10.1007/978-981-97-5575-2
  • Editors:
  • Makoto Onizuka,
  • Jae-Gil Lee,
  • Yongxin Tong,
  • Chuan Xiao,
  • Yoshiharu Ishikawa,
  • Sihem Amer-Yahia,
  • H. V. Jagadish,
  • Kejing Lu

Publisher

Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 02 September 2024

Author Tags

  1. Graph Database
  2. Large language Model
  3. Relational Database
  4. RDF
  5. Property Graph

Qualifiers

  • Article

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • 0
    Total Citations
  • 0
    Total Downloads
  • Downloads (Last 12 months)0
  • Downloads (Last 6 weeks)0
Reflects downloads up to 09 Jan 2025

Other Metrics

Citations

View Options

View options

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media