학위 논문 기반의 연구경력 일치도 분석을 위한 신뢰성 검증 프레임워크

초록

In recent years, the demand for verifying the expertise and research career reliability of scholars has been increasing. However, existing indicators such as publication counts, citation frequency, or single similarity measures have clear limitations in reflecting the overall academic consistency of research trajectories. Moreover, systematic frameworks for assessing thematic relevance between master’s and doctoral theses remain insufficient. To address these issues, this study proposes a verification framework that integrates title similarity, keyword similarity, and major similarity into an embedding-based similarity method. This enables validation of research topic consistency beyond conventional single-metric approaches. For validation, master’s and doctoral theses registered in the National Library of Korea were utilized. The applicability and effectiveness of the framework were confirmed, demonstrating its potential for research process consistency checks, research career reliability assessment, and practical evaluation of academic outputs.