Search (10 results, page 1 of 1)

  • × author_ss:"Herrera-Viedma, E."
  1. Herrera-Viedma, E.; Pasi, G.; Lopez-Herrera, A.G.; Porcel; C.: Evaluating the information quality of Web sites : a methodology based on fuzzy computing with words (2006) 0.02
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    Date
    22. 7.2006 17:05:46
    Source
    Journal of the American Society for Information Science and Technology. 57(2006) no.4, S.538-549
  2. Herrera-Viedma, E.; Pasi, G.: Soft approaches to information retrieval and information access on the Web : an introduction to the special topic section (2006) 0.01
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    Date
    22. 7.2006 16:59:33
    Source
    Journal of the American Society for Information Science and Technology. 57(2006) no.4, S.511-514
  3. 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
    Pages
    S.372-378
  4. 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.
    Pages
    S.429-436
  5. Cobo, M.J.; López-Herrera, A.G.; Herrera-Viedma, E.; Herrera, F.: Science mapping software tools : review, analysis, and cooperative study among tools (2011) 0.00
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    Source
    Journal of the American Society for Information Science and Technology. 62(2011) no.7, S.1382-1402
  6. Alonso, S.; Cabrerizo, F.J.; Herrera-Viedma, E.; Herrera, F.: WoS query partitioner : a tool to retrieve very large numbers of items from the Web of Science using different source-based partitioning approaches (2010) 0.00
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    Source
    Journal of the American Society for Information Science and Technology. 61(2010) no.8, S.1564-1581
  7. López-Herrera, A.G.; Herrera-Viedma, E.; Herrera, F.: ¬A study of the use of multi-objective evolutionary algorithms to learn Boolean queries : a comparative study (2009) 0.00
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    Source
    Journal of the American Society for Information Science and Technology. 60(2009) no.6, S.1192-1207
  8. Cobo, M.J.; López-Herrera, A.G.; Herrera-Viedma, E.; Herrera, F.: SciMAT: A new science mapping analysis software tool (2012) 0.00
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    Source
    Journal of the American Society for Information Science and Technology. 63(2012) no.8, S.1609-1630
  9. Peis, E.; Herrera-Viedma, E.; Herrera, J.C.: On the evaluation of XML documents using Fuzzy linguistic techniques (2003) 0.00
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    Pages
    S.565-571
  10. Herrera-Viedma, E.: Modeling the retrieval process for an information retrieval system using an ordinal fuzzy linguistic approach (2001) 0.00
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    Source
    Journal of the American Society for Information Science and technology. 52(2001) no.6, S.460-475