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Dynamic Filtering of Ranked Answers When Evaluating Fuzzy XPath Queries

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Rough Sets and Current Trends in Computing (RSCTC 2014)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8536))

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Abstract

We have recently designed an extension of the XPath language which provides ranked answers to flexible queries taking profit of fuzzy variants of and, or and avg operators for XPath conditions, as well as two structural constraints, called down and deep, for which a certain degree of relevance is associated. In practice, this degree is very low for some answers weakly accomplishing with the original query, and hence, they should not be computed in order to alleviate the computational complexity of the information retrieval process. In this work we focus on the scalability of our interpreter for dealing with massive XML files by making use of its ability for prematurely disregarding those computations leading to non significant solutions (i.e., with a poor degree of relevance according the preferences expressed by users when using the new command FILTER). Since our proposal has been implemented with a fuzzy logic language, here we exploit the high expressive resources of this declarative paradigm for performing “dynamic thresholding” in a very natural and efficient way, thus connecting with the so-called top-k answering problem, which is very well-known in the fuzzy logic and soft computing arena.

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Author information

Authors and Affiliations

  1. Dep. of Languages and Computation, University of Almería, Spain

    Jesús M. Almendros-Jiménez

  2. Dep. of Computing Systems, University of Castilla-La Mancha, Spain

    Alejandro Luna Tedesqui & Ginés Moreno

Authors
  1. Jesús M. Almendros-Jiménez
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  2. Alejandro Luna Tedesqui
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  3. Ginés Moreno
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Artificial Intelligence, University of Granada, Calle del Periodista Daniel Saucedo Aranda s/n, 18071, Granada, Spain

    Chris Cornelis

  2. Institute of Computer Science, Warsaw University of Technology, Nowowiejska 15/19, 00-665, Warsaw, Poland

    Marzena Kryszkiewicz

  3. University of Warsaw, Poland

    Dominik Ślȩzak

  4. Polytechnic University of Madrid, Spain

    Ernestina Menasalvas Ruiz

  5. Deparment of Computer Sciences, Universidad Central Marta Abreu de las Villas, Santa Clara, Villa Clara, Cuba

    Rafael Bello

  6. Department of Computer Science and Technology, Nanjing University, 210023, Nanjing, China

    Lin Shang

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Almendros-Jiménez, J.M., Luna Tedesqui, A., Moreno, G. (2014). Dynamic Filtering of Ranked Answers When Evaluating Fuzzy XPath Queries. In: Cornelis, C., Kryszkiewicz, M., Ślȩzak, D., Ruiz, E.M., Bello, R., Shang, L. (eds) Rough Sets and Current Trends in Computing. RSCTC 2014. Lecture Notes in Computer Science(), vol 8536. Springer, Cham. https://doi.org/10.1007/978-3-319-08644-6_33

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  • DOI: https://doi.org/10.1007/978-3-319-08644-6_33

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-08643-9

  • Online ISBN: 978-3-319-08644-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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