通过智能体引导改进生命科学领域知识图谱的构建
本文探讨了在生命科学领域，如何通过智能体引导（agent steering）来提升知识图谱的创建效率与质量。知识图谱能够整合复杂的生物医学数据，但传统构建方法面临数据异构、关系复杂等挑战。通过引入智能体引导机制，可以自动化地识别、提取和关联关键实体与关系，从而加速知识图谱的构建过程，并提高其准确性和可用性。
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