Search (2 results, page 1 of 1)

  • × author_ss:"Cordón, O."
  • × author_ss:"Herrera-Viedma, E."
  1. Cordón, O.; Herrera-Viedma, E.; Luque, M.; Moya Anegón, F. de; Zarco, C.: ¬An inductive query by example technique for extended Boolean queries based on simulated annealing-programming (2003) 0.00
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    Abstract
    One of the key problem that non-expert users have to deal with when using an Information Retrieval System is the need to deeply know its query language in order to express their information needs in the form of a valid query allowing them to retrieve relevant information. To solve this problem, Inductive Query by Example techniques can be considered to automatically derive queries from a set of relevant documents provided by a user. In this paper, a new hybrid evolutionary technique is proposed to automatically leam extended Boolean queries and is compared to Kraft et al.'s approach in several queries of the well known Cranfield collection.
    Series
    Advances in knowledge organization; vol.8
    Source
    Challenges in knowledge representation and organization for the 21st century: Integration of knowledge across boundaries. Proceedings of the 7th ISKO International Conference Granada, Spain, July 10-13, 2002. Ed.: M. López-Huertas
  2. Herrera-Viedma, E.; Cordón, O.; Herrera, J.C.; Luqe, M.: ¬An IRS based on multi-granular lnguistic information (2003) 0.00
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    Abstract
    An information retrieval system (IRS) based on fuzzy multi-granular linguistic information is proposed. The system has an evaluation method to process multi-granular linguistic information, in such a way that the inputs to the IRS are represented in a different linguistic domain than the outputs. The system accepts Boolean queries whose terms are weighted by means of the ordinal linguistic values represented by the linguistic variable "Importance" assessed an a label set S. The system evaluates the weighted queries according to a threshold semantic and obtains the linguistic retrieval status values (RSV) of documents represented by a linguistic variable "Relevance" expressed in a different label set S'. The advantage of this linguistic IRS with respect to others is that the use of the multi-granular linguistic information facilitates and improves the IRS-user interaction
    Series
    Advances in knowledge organization; vol.8
    Source
    Challenges in knowledge representation and organization for the 21st century: Integration of knowledge across boundaries. Proceedings of the 7th ISKO International Conference Granada, Spain, July 10-13, 2002. Ed.: M. López-Huertas