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A Case Study on Grammatical-Based Representation for Regular Expression Evolution

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Trends in Practical Applications of Agents and Multiagent Systems

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 71))

Abstract

Regular expressions, or simply regex, have been widely used as a powerful pattern matching and text extractor tool through decades. Although they provide a powerful and flexible notation to define and retrieve patterns from text, the syntax and the grammatical rules of these regex notations are not easy to use, and even to understand. Any regex can be represented as a Deterministic or Non-Deterministic Finite Automata; so it is possible to design a representation to automatically build a regex, and a optimization algorithm able to find the best regex in terms of complexity. This paper introduces both, a graph-based representation for regex, and a particular heuristic-based evolutionary computing algorithm based on grammatical features from this language in a particular data extraction problem.

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Author information

Authors and Affiliations

  1. Departamento de Informática, Universidad Autónoma de Madrid, C/Francisco Tomás y Valiente, n 11, 28049, Madrid, Spain

    Antonio González-Pardo & David Camacho

  2. Departamento de Automática, Universidad de Alcalá, Ctra Madrid-Barcelona, Km. 33,6, 28871, Alcalá de Henares, Madrid, Spain

    David F. Barrero & María D. R-Moreno

Authors
  1. Antonio González-Pardo
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  2. David F. Barrero
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  3. David Camacho
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  4. María D. R-Moreno
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Editor information

Editors and Affiliations

  1. Laboratoire d’Informatique de Grenoble, Centre National de la Recherche Scientifique, Maison Jean Kuntzmann, 110 av. de la Chimie, F-38041, Grenoble, France

    Yves Demazeau

  2. Department of Information and Computing Sciences, Universiteit Utrecht Centrumgebouw Noord, office A117, Padualaan 14, De Uitho, 3584CH, Utrecht, The Netherlands

    Frank Dignum

  3. Departamento de Informática y Automática, Facultad de Ciencias , Universidad de Salamanca, Plaza de la Merced S/N, 37008, Salamanca, Spain

    Juan M. Corchado

  4. Escuela Universitaria de Informática, Universidad Pontificia de Salamanca, Compañía 5, 37002, Salamanca, Spain

    Javier Bajo

  5. ETSI Informática, Universidad de Sevilla, Avda. Reina Mercedes s/n, 41012, Sevilla, Spain

    Rafael Corchuelo

  6. Departamento de Informática y Automática Facultad de Ciencias, Universidad de Salamanca, Plaza de la Merced S/N, 37008, Salamanca, Spain

    Emilio Corchado

  7. Escuela Superior de Ingeniería Informática, Edificio Politécnico, Despacho 408, Campus Universitario As Lagoas s/n, 32004, Ourense, Spain

    Florentino Fernández-Riverola

  8. Departamento de Sistemas Informáticos y Computación, Universidad Politécnica de Valencia, Camino de Vera s/n, 46022, Valencia, Spain

    Vicente J. Julián

  9. Department of Computing and Management, Poznan University of Technology, Strzelecka Str. 11, 60965, Poznan, Poland

    Pawel Pawlewski

  10. Department of Computer Science, Dartmouth College 6211 Sudikoff Laboratory, NH 03755-3510, Hanover, USA

    Andrew Campbell

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González-Pardo, A., Barrero, D.F., Camacho, D., R-Moreno, M.D. (2010). A Case Study on Grammatical-Based Representation for Regular Expression Evolution. In: Demazeau, Y., et al. Trends in Practical Applications of Agents and Multiagent Systems. Advances in Intelligent and Soft Computing, vol 71. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12433-4_45

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  • DOI: https://doi.org/10.1007/978-3-642-12433-4_45

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-12432-7

  • Online ISBN: 978-3-642-12433-4

  • eBook Packages: EngineeringEngineering (R0)

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