[目的/意义] 对《情报学研究方法与技术体系》一书进行评介，旨在使读者了解情报学学科包含的基本研究方法、研究方法与技术体系的构建过程与结果。[方法/过程] 综合使用信息组织、自然语言处理、机器学习等理论与技术，构建情报学研究方法与技术体系、开发情报学研究方法知识库与检索系统，并针对特定场景下的情报学方法体系问题进行探索。[结果/结论] 该书视角独特，创新性地利用机器学习辅助构建学科研究方法体系，对情报学研究方法的拓新和情报学学术体系的构建具有重要的促进作用，也为学科和行业实际问题的解决提供了一把钥匙。

[Purpose/significance] The book entitled Taxonomy of Research Methods and Technologies in Intelligence Studies is reviewed. This review aims to make readers understand the fundamental research methods, the construction process and results of taxonomy of research methods and technologies in intelligence studies.[Method/process] The theories and technologies of information organization, natural language processing and machine learning were comprehensively used to construct the taxonomy of research methods and technologies in intelligence studies, develop the knowledge base and retrieval system of research methods in intelligence studies, and explore the taxonomy of research methods in particular scenarios of intelligence studies.[Result/conclusion] The book has a unique perspective and uses machine learning to construct the research methods taxonomy in specific discipline innovatively. It plays an important role in promoting the innovation of the research method in intelligence studies, and the construction of the academic system in intelligence studies. It also provides a key for solving practical problems in disciplines and industries.