Information Retrieval for R and D Support

Gennady Osipov, Ivan Smirnov, Ilya Tikhomirov, Ilya Sochenkov, Artem Shelmanov, Alexander Shvets

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)

Abstract

Research and development (R and D) involves not only researchers but also many other specialists from different areas. All of them solve a variety of tasks that require comprehensive information and analytical support. This chapter discusses the major tasks arising in R and D: study of the state of the art in a given research area, prospects assessment of research fields and forecasting their development, quality assessment of scientific publications including plagiarism detection, and automated examination of proposed R and D projects. A number of informational and analytical systems have been developed to address these tasks. The main goal of this chapter is to give a review of R and D support functions of well-known and widely-used search and analytical systems and discuss information retrieval methods behind these functions.

Original languageEnglish
Pages (from-to)45-69
Number of pages25
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8830
DOIs
Publication statusPublished - 2014
Externally publishedYes

Keywords

  • Citation databases
  • Exploratory search
  • Full-text search
  • Information retrieval
  • R and D support
  • Scientific publication
  • Scientometrics

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