数据与计算发展前沿2026，Vol.8Issue(1)：207-218,12.DOI:10.11871/jfdc.issn.2096-742X.2026.01.017
基于摘要辅助认知增强的多模态科学数据检索方法
Multi-Format Scientific Data Retrieval Method Based on Abstract Assisted Cognitive Enhancement
摘要
Abstract
[Objective]Due to the specialization of terminology,complex knowledge associations and low retrieval efficiency in the current technology project data resources,the traditional retrieval mode is difficult to meet the needs of multimodal scientific data association retrieval,resulting in the difficulty of knowledge sharing and integrated application of existing technology project data resources.[Methods]To address the above problems,a multimodal scientific data retrieval method based on summary-as-sisted cognitive enhancement is proposed to promote open sharing of scientific and technological resources.First-ly,a multimodal scientific data semantic representation model based on large models is constructed,which com-bines professional domain knowledge with structural guidance mechanisms to generate structured summaries con-taining key knowledge.Subsequently,based on the knowledge of keywords and description information provided by structured abstracts,a multimodal scientific data retrieval model is constructed with directed thought chain multi-plex guidance.By combining cognitive cueing with multi-step dynamic reasoning,this model enables multi-dimen-sional correlation analysis of scientific data and improves retrieval performance.[Results]The results show that,compared with the existing Modular RAG framework,the proposed method improves accuracy and Rouge-n index on the test set by 4.65% and 3.18% respectively.[Conclusions]These results verify the applicability of the pro-posed method to scientific data retrieval involving multimodal data and complex knowledge associations.关键词
多模态科学数据检索/多视角语义关联/结构化摘要/认知增强/思维链多路引导Key words
multi-format scientific data retrieval/multi-perspective semantic association/structured summary/cognitive en-hancement/multi-channel guidance of thinking chain引用本文复制引用
杨斌,吕梁,吕晓雯,乔振..基于摘要辅助认知增强的多模态科学数据检索方法[J].数据与计算发展前沿,2026,8(1):207-218,12.基金项目
山东省重点研发计划(软科学)项目"科学数据中心体系布局与建设研究"(2025RZA0808) （软科学）
山东省大数据局政务信息化项目"山东省科学数据管理系统"(鲁数审核[2023]36号) （鲁数审核[2023]36号）
