• DocumentCode
    1624144
  • Title

    Modelling field dependencies on structured documents with fuzzy logic

  • Author

    Pérez-Iglesias, Joaquín ; Fresno, Víctor ; Pérez-Agüera, José R.

  • Author_Institution
    NLP & IR Group, UNED, Madrid, Spain
  • fYear
    2009
  • Firstpage
    496
  • Lastpage
    501
  • Abstract
    A new scenario has raised into the IR field with the increase in the use of mark-up languages. This new scenario has been defined as structured IR and is focused on documents with structure. The classic IR models have been extended in order to be applied to this document type. Generally these adaptations have been carried out by weighting the fields that form the document structure, and making the assumption of statistics independence between fields. This assumption force to an estimation of the different weights applied to each field. In this paper a new ranking function for structured IR is proposed. This new function is based on Fuzzy Logic, and its main aim is to model through heuristics and expert knowledge the relations between fields within a document.
  • Keywords
    document handling; fuzzy logic; fuzzy reasoning; fuzzy set theory; information retrieval; document structure; field dependency modelling; fuzzy logic; information retrieval; mark-up language; ranking function; statistics independence; Fuzzy logic; HTML; Information resources; Information retrieval; Optimization methods; Search engines; Statistics; Technological innovation; Web pages;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 2009. FUZZ-IEEE 2009. IEEE International Conference on
  • Conference_Location
    Jeju Island
  • ISSN
    1098-7584
  • Print_ISBN
    978-1-4244-3596-8
  • Electronic_ISBN
    1098-7584
  • Type

    conf

  • DOI
    10.1109/FUZZY.2009.5277150
  • Filename
    5277150