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Grammatical Evolution for Identifying Wikipedia Taxonomies

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Published:11 July 2015Publication History

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.Google ScholarGoogle Scholar
  2. M. O'Neill and C. Ryan. Grammatical evolution. IEEE Transactions on Evolutionary Computation, 5(4):349--358, August 2001. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. G. Salton, A. Wong, and C. S. Yang. A vector space model for automatic indexing. Commun. ACM, 18(11):613--620, 1975. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. Grammatical Evolution for Identifying Wikipedia Taxonomies

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          cover image ACM Conferences
          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

          Copyright © 2015 Owner/Author

          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

          Publication History

          • Published: 11 July 2015

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