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Dynamic State

Integrating multidisciplinary perspectives such as library and information science, linguistics, cognitive science, and computational science, this research explores the basic theories of knowledge organization and knowledge discovery. It focuses on knowledge representation, semantic computing, and automatic construction methods of trustworthy knowledge graphs. Taking terminology as a breakthrough and supported by natural language processing technology, it gradually integrates large model technology to achieve multi-dimensional, scenario-based, intelligent, precise, and interpretable scientific and technological knowledge organization and information services.

Research Direction

Scientific and Technological Talent Portraits: Research on High-Level Talent Portraits and Development of Expert Recommendation Service System

From the perspective of knowledge organization and open-source intelligence, methods such as natural language processing and deep learning are used to identify domain experts and teams. It accurately recognizes, evaluates, and recommends their research expertise, influence, activity, authority, growth, mobility, international cooperation, responsible review and avoidance relationships, research integrity, and ethical risks, providing decision support for government departments, science parks, and tech enterprises in talent recruitment, cultivation, utilization, and retention.

International Organization Scientific Knowledge Aggregation: Research on Integration Methods of International Organization Terminology Banks and Development of 'Global Knowledge' Service Platform

From the perspective of knowledge organization and discovery, it semantically and normatively translates, organizes, and maps scientific and technological terminology resources released by international organizations such as UNESCO and FAO to form a multilingual terminology knowledge base. It further uses natural language processing to conduct cross-language translation, semantic mining, and dynamic analysis of policy documents, reports, archives, and statistical data, providing decision support and policy advice to enhance China's voice in international organizations and offering multilingual knowledge services.

Ancient Book Scientific Knowledge Discovery: Integration of Large-Scale Ancient Book Knowledge Base and Development of 'Ancient Tao' Knowledge Graph Service Platform

Based on ancient corpora, literature and terminological databases, this study leverages knowledge organization and NLP methods to extract scientific terms and professional knowledge from rare ancient books and build reliable knowledge graphs. It explores the structuring, systematic arrangement and intelligent exploitation of ancient texts to advance ancient book conservation and enable ancient scientific knowledge to serve modern society.

AI + K-12 Reading: Student Reading Ability Portraits and Reading Appropriateness Assessment

From the interdisciplinary perspective of library science, linguistics, education, psychology, and data science, it explores data-driven methods for hierarchical reading ability portraits of primary and secondary school students. AI is used to improve person-book matching, thus perfecting reading theories and evaluation systems, enhancing students' deep reading abilities, and better serving the construction of scholarly campuses and society.

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Peiyan Song