Designing the BMI Model for Interlinking Name Identifier Systems

Abstract

To uniquely identify authors of intellectual works, many institutions operate distinct name identifier systems based on their respective policies and objectives. While these systems share common elements, they differ significantly in terms of format and content, often resulting in confusion in author data management and access due to the coexistence of multiple identifiers for the same individual. This study examines the characteristics of existing name identifier systems and proposes a conceptual framework to enable their semantic interlinking.