Training a Personal Alert System for Research Information Recommendation

نویسندگان

  • Germán Hurtado Martín
  • Chris Cornelis
  • Helga Naessens
چکیده

Information Systems, and in particular Current Research Information Systems (CRISs), are usually quite difficult to query when looking for specific information, due to the huge amounts of data they contain. To solve this problem, we propose to use a personal search agent that uses fuzzy and rough sets to inform the user about newly available information. Additionally, in order to automate the operation of our solution and to provide it with sufficient information, a document classification module is developed and tested. This module also generates fuzzy relations between research domains that are used by the agent during the mapping process. Keywords—Automatic classification, Current Research Information Systems, Fuzzy-rough sets, Personal search agents

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تاریخ انتشار 2009