On the Evolution of Knowledge Graphs: A Survey and Perspective

• URL: http://arxiv.org/abs/2310.04835v2
• Date: Tue, 10 Oct 2023 05:15:08 GMT
• Title: On the Evolution of Knowledge Graphs: A Survey and Perspective
• Authors: Xuhui Jiang, Chengjin Xu, Yinghan Shen, Xun Sun, Lumingyuan Tang, Saizhuo Wang, Zhongwu Chen, Yuanzhuo Wang, Jian Guo
• Abstract summary: Knowledge graphs (KGs) are structured representations of diversified knowledge. They are widely used in various intelligent applications. We provide a comprehensive survey on the evolution of various types of KGs and techniques for knowledge extraction and reasoning. We propose our perspective on the future directions of knowledge engineering.
• Score: 11.061075842989817
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Knowledge graphs (KGs) are structured representations of diversified knowledge. They are widely used in various intelligent applications. In this article, we provide a comprehensive survey on the evolution of various types of knowledge graphs (i.e., static KGs, dynamic KGs, temporal KGs, and event KGs) and techniques for knowledge extraction and reasoning. Furthermore, we introduce the practical applications of different types of KGs, including a case study in financial analysis. Finally, we propose our perspective on the future directions of knowledge engineering, including the potential of combining the power of knowledge graphs and large language models (LLMs), and the evolution of knowledge extraction, reasoning, and representation.

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