Space of articles' thematic proximity modeling using fuzzy approach

Abstract

The thematic similarity of scientific articles can be examined using bibliographic metadata such as titles, keywords, descriptions, and distribution of citations. Researchers use traditional co-citation analysis, bibliographic linking, or text analysis to process and further organize publications. Scientometric works have reported that they put more and more effort into explicit combinations of the different approaches to obtain and verify the achieved results. These studies show that the data quality strongly determines the chosen method. If we lack a valuable, representative data set, the researchers’ attention leads toward modeling an appropriate metadata space. Hence, academics can construct a suitable semantic space if they need to organize a set of publications.