Irtaza Rasheed defended his Master Thesis on Name Disambiguation on Digital Library Data for an Enhanced Profile Analysis in Visual Trend Analytics
In his thesis, Irtaza Rasheed implemented a universal name disambiguation approach that considers almost any existing property to identify authors. After an author of a paper is identified, the normalized name writing form on the paper is used to refine the author model and even give an overview of the different writing forms of the author’s name. This can be achieved by first examining the research on Human-Computer Interaction specifically with a focus on (Visual) Trend Analysis. Furthermore, research on different name disambiguation techniques. After that, building a concept and implementing a generalized method to identify author name and affiliation disambiguation while evaluating different properties.
The post Irtaza Rasheed defended his Master Thesis on Name Disambiguation on Digital Library Data for an Enhanced Profile Analysis in Visual Trend Analytics appeared first on Human-Computer Interaction & Visual Analyitics Reasearch Group (vis) at Darmstadt University of Applied Sciences (h_da).
