| 齐涵悦,杨颜僖,林泽斐.融合图尔敏模型与大语言模型的社会科学循证知识库构建方法[J].数字图书馆论坛,2025,21(10):1~11 |
| 融合图尔敏模型与大语言模型的社会科学循证知识库构建方法 |
| Evidence-Based Knowledge Base Construction Method for Social Sciences Integrating Toulmin Model and LLM |
| 投稿时间：2025-08-20 |
| DOI：10.3772/j.issn.1673-2286.2025.10.001 |
| 中文关键词: 图尔敏模型；大语言模型；社会科学；知识库构建；循证社会科学；证据；知识组织 |
| 英文关键词: Toulmin Model; Large Language Model; Social Sciences; Knowledge Base Construction; Evidence-Based Social Sciences; Evidence;Knowledge Organization |
| 基金项目:本研究得到福建省社会科学基金项目“基于大型语言模型的社会科学循证知识库构建”（编号：FJ2024BF034）资助。 |
| 作者 | 单位 | | 齐涵悦 | 福建师范大学社会历史学院 | | 杨颜僖 | 中国科学院文献情报中心；中国科学院大学信息资源管理系 | | 林泽斐 | 福建师范大学社会历史学院 |
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| 中文摘要: |
| 社会科学领域的循证研究面临文献数量快速增长及论证情境复杂的双重挑战，亟需智能、高效的证据处理方法。本研究提出一种融合图尔敏模型和大语言模型的社会科学循证知识库构建方法，旨在提升社会科学证据的处理效率及证据分析的智能化水平。首先，设计以论证为中心的信息抽取流程；其次，构建面向语义检索的多维度知识组织模型；最后，设计基于链式推理的智能循证服务流程，并以图书情报学为例，开发原型系统ToulminQA。实验评测表明，ToulminQA在论证要素抽取方面具有较高的准确性与可靠性，同时系统能够有效整合大量证据，形成逻辑清晰、具备实用价值的循证结论。本研究为社会科学领域提供了一种新的循证研究路径及具有参考价值的实践范例。 |
| 英文摘要: |
| Evidence-based research in the social sciences faces dual challenges: the rapid growth of literature and complex argumentation scenarios,necessitating intelligent and efficient evidence processing methods. This study proposes a method for constructing a social sciences evidence-based knowledge base that integrates the Toulmin argumentation model with large language model (LLM), aiming to improve the efficiency of processing social sciences evidence and the level of intelligence in evidence analysis. First, we design an information extraction process centered on argumentation. Second, we construct a multidimensional knowledge organization model for semantic retrieval. Finally, we design an intelligent evidence-based service process based on chain reasoning, and take library and information science as an example to develop the prototype system ToulminQA. Experimental evaluations demonstrate that ToulminQA exhibits high accuracy and reliability in argumentative element extraction. The system effectively integrates extensive evidence to generate logically coherent, practically valuable evidence-based conclusions. This research provides a novel reference and practical example for evidence-based researchpathways in the social sciences. |
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