Expert finding by the Dempster‐Shafer theory for evidence combination

Authors
  • N. Torkzadeh mahani
  • M. Dehghani
  • M.S. Mirian
  • A. Shakery
  • K. Taheri
Publication date 02-2018
Journal Expert Systems
Article number 12231
Volume | Issue number 35 | 1
Number of pages 13
Organisations
  • Faculty of Science (FNWI)
  • Faculty of Science (FNWI) - Informatics Institute (IVI)
  • Faculty of Humanities (FGw) - Amsterdam Institute for Humanities Research (AIHR)
  • Interfacultary Research - Institute for Logic, Language and Computation (ILLC)
Abstract

The expertise of human experts can be formally extracted from their written documents, research projects, and everyday activities. The process whereby experts are recognized according to their activities is called expert finding. In this paper, we propose an approach to identify the experts in a given field according to the content of 3 easily accessible sources of information: (a) "Publications," (b) "Social interactions," and (c) "Scientometric information." We employed the Dempster-Shafer theory to combine the results obtained from individual sources to find a final unified ranking. In Digital Bibliography & Library Project standard data, it is shown that the Dempster-Shafer combination creates a desired synergy between 2 bodies of knowledge, which improves the precision of the top-ranked results.

Document type Article
Language English
Published at https://doi.org/10.1111/exsy.12231
Other links https://www.scopus.com/pages/publications/85031665335
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