基于知识图谱的语言应急服务系统构建与场景实现

Construction and Scenario Implementation of Language Emergency Service System Based on Knowledge Graph

摘要: 语言应急服务系统旨在通过提升信息处理速度与整合知识资源，优化应急情境下的语言沟通、本地化、监测与决策能力。本研究探讨基于知识图谱的语言应急服务系统构建方法，该系统包含基础设施层、知识层与应用层三层架构。首先，通过构建知识图谱，以“实体–关系–实体”三元组形式系统化、结构化地存储海量知识。其次，基于语言应急服务需求，提出动态构建能力、智能语言处理能力与多语言映射能力三大核心功能，以提升语言应急服务的智能化水平。最后，构建四种应急场景，系统化应对突发事件处置并满足紧急情境下的语言服务需求。研究结果表明，该系统显著提升语言应急服务效率，减少应急资源的消耗与损失。本研究结论为提高语言应急服务水平与应急响应可靠性提供了有效解决方案。

Abstract: The language emergency service system aims to optimize language communication, localization, monitoring, and decision-making in emergency situations by enhancing information processing speed and integrating knowledge resources. This study explores the construction methodology of a knowledge graph-based language emergency service system, which comprises three layers: the infrastructure layer, the knowledge layer, and the application layer. First, a knowledge graph is constructed to store extensive knowledge systematically and structurally in the form of “entity-relation-entity” triplets. Second, based on the requirements of language emergency services, three core capabilities are proposed: dynamic construction capability, intelligent language processing capability, and multilingual mapping capability, to enhance the intelligence level of language emergency services. Lastly, four emergency scenarios are constructed to systematically address emergency incident handling and meet the language service needs in urgent situations. The research results indicate that this system significantly improves the efficiency of language emergency services, reducing the consumption and losses of emergency resources. The findings of this study provide an effective solution to enhance the level of language emergency services and the reliability of emergency responses.