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Grammatical Evolution for Identifying Wikipedia Taxonomies

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GECCO Companion '15: Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation

Pages 1345 - 1346

https://doi.org/10.1145/2739482.2764629

Published: 11 July 2015 Publication History

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Abstract

This work applies Grammatical Evolution to identify taxonomic hierarchies of concepts from Wikipedia. Each article in Wikipedia covers a concept and is cross-linked by hyperlinks that connect related concepts. Hierarchical taxonomies and their generalization to ontologies are a highly useful resource for many applications by enabling semantic search and reasoning. We have developed a system which arranges a set of Wikipedia concepts into a taxonomy.

References

[1]

J. Lehmann, R. Isele, M. Jakob, A. Jentzsch, D. Kontokostas, P. N. Mendes, S. Hellmann, M. Morsey, P. van Kleef, S. Auer, and C. Bizer. DBpedia - a large-scale, multilingual knowledge base extracted from wikipedia. Semantic Web Journal, 2014.

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[2]

M. O'Neill and C. Ryan. Grammatical evolution. IEEE Transactions on Evolutionary Computation, 5(4):349--358, August 2001.

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[3]

G. Salton, A. Wong, and C. S. Yang. A vector space model for automatic indexing. Commun. ACM, 18(11):613--620, 1975.

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Araujo LMartinez-Romo JDuque A(2018)Discovering taxonomies in Wikipedia by means of grammatical evolutionSoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-017-2544-422:9(2907-2919)Online publication date: 1-May-2018
https://dl.acm.org/doi/10.1007/s00500-017-2544-4
Ryan C(2017)A rebuttal to Whigham, Dick, and Maclaurin by one of the inventors of Grammatical EvolutionGenetic Programming and Evolvable Machines10.1007/s10710-017-9294-z18:3(385-389)Online publication date: 1-Sep-2017
https://dl.acm.org/doi/10.1007/s10710-017-9294-z

Index Terms

Grammatical Evolution for Identifying Wikipedia Taxonomies
1. Computing methodologies
  1. Artificial intelligence
    1. Control methods
    2. Search methodologies
2. Theory of computation
  1. Design and analysis of algorithms
    1. Algorithm design techniques
      1. Dynamic programming

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Published In

GECCO Companion '15: Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation

July 2015

1568 pages

ISBN:9781450334884

DOI:10.1145/2739482

Editor:
Sara Silva
Universidade de Lisboa, Portugal
,
General Chair:
Anna I. Esparcia-Alcázar
Universitat Politècnica de València, Spain

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

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Published: 11 July 2015

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Universidad Nacional de Educación a Distancia (UNED)
Spanish Ministry of Science and Innovation

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GECCO '15

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SIGEVO

GECCO '15: Genetic and Evolutionary Computation Conference

July 11 - 15, 2015

Madrid, Spain

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Araujo LMartinez-Romo JDuque A(2018)Discovering taxonomies in Wikipedia by means of grammatical evolutionSoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-017-2544-422:9(2907-2919)Online publication date: 1-May-2018
https://dl.acm.org/doi/10.1007/s00500-017-2544-4
Ryan C(2017)A rebuttal to Whigham, Dick, and Maclaurin by one of the inventors of Grammatical EvolutionGenetic Programming and Evolvable Machines10.1007/s10710-017-9294-z18:3(385-389)Online publication date: 1-Sep-2017
https://dl.acm.org/doi/10.1007/s10710-017-9294-z

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Discovering taxonomies in Wikipedia by means of grammatical evolution

Learning Class Disjointness Axioms Using Grammatical Evolution

Crossover in Grammatical Evolution

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