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Personalizing information retrieval in CRISs with Fuzzy Sets and Rough Sets

Germán Hurtado Martín (UGent) , Chris Cornelis (UGent) and Helga Naessens (UGent)
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Abstract
Current Research Information Systems (CRISs) usually contain large amounts of heterogeneous and distributed data, which makes finding specific information difficult for a user. It is in these cases that the concept of a personal search agent, proactively informing the user about newly available information, becomes more and more popular. But how can the agent know what is useful for the user if he has not expressed it explicitly? Our approach proposes using fuzzy and rough sets to make the matching process between the users' interests and the information in the system more flexible, as they allow expressing partial relationships and expanding queries, as well as dealing with problems like imprecision, ambiguity, or incompleteness.

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Chicago
Hurtado Martín, Germán, Chris Cornelis, and Helga Naessens. 2008. “Personalizing Information Retrieval in CRISs with Fuzzy Sets and Rough Sets.” In Get the Good CRIS Going : Ensuring Quality of Service for the User in the Era, ed. A Bosnjak and M Stempfhuber, 51–59. Voorschoten, The Netherlands: EuroCRIS.
APA
Hurtado Martín, G., Cornelis, C., & Naessens, H. (2008). Personalizing information retrieval in CRISs with Fuzzy Sets and Rough Sets. In A. Bosnjak & M. Stempfhuber (Eds.), Get the good CRIS going : ensuring quality of service for the user in the era (pp. 51–59). Presented at the 9th International conference on Current Research Information Systems (CRIS 2008), Voorschoten, The Netherlands: EuroCRIS.
Vancouver
1.
Hurtado Martín G, Cornelis C, Naessens H. Personalizing information retrieval in CRISs with Fuzzy Sets and Rough Sets. In: Bosnjak A, Stempfhuber M, editors. Get the good CRIS going : ensuring quality of service for the user in the era. Voorschoten, The Netherlands: EuroCRIS; 2008. p. 51–9.
MLA
Hurtado Martín, Germán, Chris Cornelis, and Helga Naessens. “Personalizing Information Retrieval in CRISs with Fuzzy Sets and Rough Sets.” Get the Good CRIS Going : Ensuring Quality of Service for the User in the Era. Ed. A Bosnjak & M Stempfhuber. Voorschoten, The Netherlands: EuroCRIS, 2008. 51–59. Print.
@inproceedings{418405,
  abstract     = {Current Research Information Systems (CRISs) usually contain large amounts of heterogeneous and distributed data, which makes finding specific information difficult for a user. It is in these cases that the concept of a personal search agent, proactively informing the user about newly available information, becomes more and more popular. But how can the agent know what is useful for the user if he has not expressed it explicitly? Our approach proposes using fuzzy and rough sets to make the matching process between the users' interests and the information in the system more flexible, as they allow expressing partial relationships and expanding queries, as well as dealing with problems like imprecision, ambiguity, or incompleteness.},
  author       = {Hurtado Mart{\'i}n, Germ{\'a}n and Cornelis, Chris and Naessens, Helga},
  booktitle    = {Get the good CRIS going : ensuring quality of service for the user in the era},
  editor       = {Bosnjak, A and Stempfhuber, M},
  isbn         = {9789616133388},
  language     = {eng},
  location     = {Maribor, Slovenia},
  pages        = {51--59},
  publisher    = {EuroCRIS},
  title        = {Personalizing information retrieval in CRISs with Fuzzy Sets and Rough Sets},
  year         = {2008},
}

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