Drexel University

Drexel will build an entity-based research framework with methods and analytical tools that allow for the identification, categorization, and analysis of scientific publications. This framework will be employed to enhance the digital services of two groups of audiences in library and information science: one group retrieves scientific publications to satisfy their information needs and the other analyzes scientific publications to study scholarly communication. Through this work, the project will accomplish two objectives: to discover latent knowledge from large linked data and to deliver knowledge more effectively to satisfy users’ information needs by the use of entity-level analytics. An open-access corpus will be employed as a proof-of-concept for the framework design.