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Distributed Computing and Artificial Intelligence, 13th International Conference pp 61–69Cite as

Comparison Study Between Chinese Family Tree and Occidental Family Tree

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 474))

Abstract

Family trees are one of the use efficiency data structures to present and store the information. There are two kinds of mechanisms to present the relationship of the elements: Occidental Family Trees (OFT) and Oriental Family Trees, especially, Chinese Family Trees (CFT). This paper analyzes the efficiency of these two kinds of trees in the context of relationship presentation and extraction of information. Using the developed OFT and CFT presentation models and search algorithms, the paper conducts the comparison of search performance between OFT and CFT search algorithms. The study reveals that the computational cost is higher in CFT model, but it provides a greater gain information and produces in details the relationships between the individuals in the family trees for information retrieval applications.

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of Brasilia (UnB), Campus Universitário Darcy Ribeiro, Brasilia, Cx Postal 4466, Brazil

    Elton Sarmanho Siqueira, Patrick Cisuaka Kabongo & Li Weigang

Authors
  1. Elton Sarmanho Siqueira
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  2. Patrick Cisuaka Kabongo
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  3. Li Weigang
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Corresponding author

Correspondence to Li Weigang .

Editor information

Editors and Affiliations

  1. Faculty of Engineering, Osaka Institute of Technology Faculty of Engineering, Osaka, Osaka, Japan

    Sigeru Omatu

  2. Faculty of Computer Science & Informatio, Universiti Teknologi Malaysia (UTM) Faculty of Computer Science & Informatio, Baharu, Malaysia

    Ali Semalat

  3. Department of Electronics and Compu, Koszalin University of Technology Department of Electronics and Compu, Koszalin, Poland

    Grzegorz Bocewicz

  4. Faculty of Electrical Engineering and Cs, Kielce University of Technology Faculty of Electrical Engineering and Cs, Kielce, Poland

    Paweł Sitek

  5. Faculty of Engineering and Science, Aalborg University Faculty of Engineering and Science, Aalborg, Denmark

    Izabela E. Nielsen

  6. ETS Ingeniería Informática, University of Sevilla ETS Ingeniería Informática, Sevilla, Spain

    Julián A. García García

  7. Departamento de Inteligencia Artificial, Universidad Politécnica de Madrid Departamento de Inteligencia Artificial, Madrid, Spain

    Javier Bajo

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© 2016 Springer International Publishing Switzerland

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Cite this paper

Siqueira, E.S., Kabongo, P.C., Weigang, L. (2016). Comparison Study Between Chinese Family Tree and Occidental Family Tree. In: Omatu, S., et al. Distributed Computing and Artificial Intelligence, 13th International Conference. Advances in Intelligent Systems and Computing, vol 474. Springer, Cham. https://doi.org/10.1007/978-3-319-40162-1_7

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  • DOI: https://doi.org/10.1007/978-3-319-40162-1_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-40161-4

  • Online ISBN: 978-3-319-40162-1

  • eBook Packages: EngineeringEngineering (R0)

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