Semantic Analysis Applications in Computational Bibliometrics

Abstract

Continuing a previous theoretical research in bibliometrics, this study aims to conclude a bibliometric endeavor, in the quest of finding an adapted impact measure for scientific papers. Its main objective is to define a technological solution capable to interpret both citations and papers’ content, in an integrative approach. The solution employs natural language processors, similarity measures and graph computation algorithms, while integrating them in a software prototype. Describing the design and implementation phases, the research underlines specific solutions and optimizations for relevance computing in citation networks.