An automatic system for identifying authorities in digital libraries

  • Authors:
  • Irene Diaz-Valenzuela;Maria J. Martin-Bautista;Maria-Amparo Vila;Jesus R. CampañA

  • Affiliations:
  • Department of Computer Science and Artificial Intelligence, ETSIIT - University of Granada, Granada 18071, Spain;Department of Computer Science and Artificial Intelligence, ETSIIT - University of Granada, Granada 18071, Spain;Department of Computer Science and Artificial Intelligence, ETSIIT - University of Granada, Granada 18071, Spain;Department of Computer Science and Artificial Intelligence, ETSIIT - University of Granada, Granada 18071, Spain

  • Venue:
  • Expert Systems with Applications: An International Journal
  • Year:
  • 2013

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Abstract

In this paper we introduce an automatic system to perform authority control in digital libraries based on data mining techniques. This system is able to find the different representations for an author name as well as to distinguish between different authors sharing the same name. Using that information, the system shows the user the results of a search over a digital library properly grouped according to their authorship. To accomplish this task, it only uses information that can be directly obtained from the digital library itself without any kind of external data. The system has been tested using different digital libraries on the web.