News & Events

Metadata Mondays at the MRC

Metadata Mondays are here. Please mark your calendars and join us to hear about research being led by faculty affiliated with the Metadata Research Center at the College of Computing and Informatics, Drexel University.

Date/time: Mondays, 1:00-2:00 PM; specific dates specified on the below schedule.

Location: All talks scheduled in Room 213, the Rush Building, Drexel University’s main campus.

Tempo: All presentations are open, informal, and will allow time for discussion.

February 1: Erjia Yan, Assistant Professor, Information Science Department, College of Computing and Informatics, Drexel University, and National Consortium for Data Science Fellow

Title: Assessing the Impact of Data and Software on Science Using Hybrid Metrics

Synopsis: Professor Yan’s presentation will provide an update on research that examines an addresses challenges with discovering and assessing the impact of software by identifying referencing patterns and designing hybrid metrics to assess the full impact of software. Unlike current data repository indexing, Yan’s work aims to provide context-driven, full text data analytics for software in order to account for the unsystematic ways in which these products are referenced in scientific literature. Ultimately, Yan’s work seeks to develop a system that will comprehensively capture the impact of digital outputs that include both data and software on knowledge production and innovation.  Professor Yan’s research is supported by the National Consortium for Data Science.

March 14: Weimao Ke, Assistant Professor, Information Science Department, College of Computing and Informatics

Title: Least Information Theory (LIT) and the Search for Representative Terms in Text Data

Synopsis: Professor Ke will discuss the Least InformationTheory (LIT), a new information measure based on Shannon entropy, and compare it to classic treatments such as KL divergence. The theory has a broad range of important applications such as feature selection and term weighting for information retrieval, text clustering, and classification. Extensive experimental research has shown highly competitive performances of LIT-based methods.

April 11: Jung-ran Park, Associate Professor, Information Science Department, College of Computing and Informatics

Title: Semi-Automatic Metadata Generation Workflow for Developing Continuing Education Resource Repository

Synopsis: Professor Park will report on a high-level conceptualized workflow for the development of a repository related to continuing educational resources for the metadata professions. One of the major challenges facing cataloging and metadata communities’ concerns current developments and emerging trends in standards and technologies for managing digital information. Through utilization and integration of available open-source (semi)automatic metadata generation tools, we designed a self-sustaining repository while also generating high quality metadata for continuing education resources. Professor Park’s research is supported by the Institute of Museum and Library Services (IMLS).