Knowledge Graph Indexing Enhanced Q&A System Based on Large Language Model

With the advent of the digital age, the explosive growth of data has brought unprecedented opportunities and challenges to societal development. The rapid evolution of data science is driving innovation and progress across various industries. Both the business and academic communities recognize the immense potential hidden within vast amounts of data. Extracting truly valuable information from this data has become a critical issue that needs to be addressed. As technology advances swiftly and data accumulates rapidly, traditional processing and analysis methods can no longer keep up with the current volume and velocity of data. This has prompted data professionals to seek innovative solutions to handle increasingly complex and massive data relationships and quantities. Against this backdrop, two key technologies have emerged due to their exceptional performance-knowledge graphs and large language models

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Publication Details

Published
2024-09-27
DOI
https://doi.org/10.1109/eiecs63941.2024.10800696
Citations
2
Primary Topic
Expert finding and Q&A systems
Type
article
Field-Weighted Citation Impact
1.56
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article

Knowledge Graph Indexing Enhanced Q&A System Based on Large Language Model

Ling Wei-qing, Quan Zhang, Jiawei Sun, Ying Zhi
2 citations
Expert finding and Q&A systems
1.56
article

Knowledge Graph Indexing Enhanced Q&A System Based on Large Language Model

Ling Wei-qing, Quan Zhang, Jiawei Sun, Ying Zhi
article en
2 citations

Abstract

With the advent of the digital age, the explosive growth of data has brought unprecedented opportunities and challenges to societal development. The rapid evolution of data science is driving innovation and progress across various industries. Both the business and academic communities recognize the immense potential hidden within vast amounts of data. Extracting truly valuable information from this data has become a critical issue that needs to be addressed. As technology advances swiftly and data accumulates rapidly, traditional processing and analysis methods can no longer keep up with the current volume and velocity of data. This has prompted data professionals to seek innovative solutions to handle increasingly complex and massive data relationships and quantities. Against this backdrop, two key technologies have emerged due to their exceptional performance-knowledge graphs and large language models

Tongji University (CN)
Openalex Percentile: Top 11%
Expert finding and Q&A systems
1.56
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Knowledge Graph Indexing Enhanced Q&A System Based on Large Language Model — Ling Wei-qing, Quan Zhang, et al. · (2024) | TGRS Research Map | TGRS