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Semantic Analysis Applications in Computational Bibliometrics

Authors
  • Sorin Avram

    University Politehnica of Bucharest

  • Victor Velter

    The Executive Agency for Higher Education, Research, Development and Innovation Funding, Bucharest

  • Ioan Dumitrache

    University Politehnica of Bucharest

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.
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Published
2014-03-26
Section
Articles