Web Science and Digital Libraries Research Group

Hello  WSDL Blog  readers! My name is  James (Jim/Jimmy) Ecker  and I joined the  Web Science and Digital Libraries  (WS-DL) research group  at  Old Domin ion Un iversity  as a Ph.D student in Fall 2019. I decided to pursue a Ph.D to primarily refine my skills in research, academic writing, and presenting/communicating my work . I am being advised by  Michael Nelson .  In my time at ODU, I have taken  CS891 - Emerging Technologies , where we developed our academic presentation skills with respect to presenting research on various emerging technologies,  CS800 - Research Methods , where we further developed academic presentation and writing skills, and am currently taking  CS895 - Web Archiving Forensics , where we are developing more applied research skills to establish whether information being shared on the internet is authentic. I earned a Bachelor of Science in Computer Science from  Florida Southern College  (FSC) in my hometown of  Lakeland, Florida . There, I established the  Fl

I am delighted that my proposal entitled "Toward Knowledge Extraction: Finding Datasets, Methods, and Tools Adopted in Research Papers" is awarded under the Program for Undergraduate Research and Scholarship ( PURS ) by the Old Dominion University Perry Honors College Undergraduate Research Program, in cooperation with the ODU Office of Research. With the increasing volumes of publications in all academic fields, researchers are under great pressure to read and digest research papers that deliver existing and new discoveries, even in niche domains. With the advancement of natural language processing (NLP) techniques in the last decade, it is possible to build frameworks to process free textual content to extract key facts (datasets, methods, and tools) from research papers. The goal of this project is to develop a machine learning framework to automatically extract datasets, methods, and tools from research papers in Computer and Information Science and Engineering (CIS