Construction of a Knowledge Graph for Conflict and Dispute Events Based on Multimodal Data

The research presented in this article focuses on the construction of a Knowledge Graph for contradictory dispute events, leveraging multimodal data. A Knowledge Graph is a structured knowledge base composed of entities and their interrelations, enriched with extensive semantic information and reasoning capabilities. This particular Knowledge Graph is built upon diverse modalities of data sources, including images, texts, and structured data, specifically tailored for the domain of contradictory disputes. The primary objective of the study is to scientifically manage such disputes by mining and analyzing the information embedded in the data. This approach facilitates intelligent detection, assessment, early warning, and personnel alerts for various types of contradictory dispute events. The research significantly contributes to the effective handling and resolution of conflicts in the public security domain, offering robust support through advanced data-driven insights.