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An Adaptive Plagiarism Detection System Based on Semantic Concept and Hierarchical Genetic Algorithm

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Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2019 (AISI 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1058))

Abstract

Plagiarism became a considerable issue; the reason is easy access to articles on the Internet. However, many issues arise as the majority of available Plagiarism Detection (PD) tools could not identify plagiarism by structural variations and paraphrasing. For applied systems, with regards to more complicated levels, those systems fail. Genetic Algorithm (GA) is now broadly utilized in accomplishing best solution in multidimensional nonlinear problems, unfortunately, system structure must be pre-defined to be optimized. This paper introduced an improved plagiarism detection system aiming to detect cases of plagiarism by semantic similarity with Hierarchal Genetic Algorithm (HGA). HGA operates without pre-defining system structure, moreover, system structure and parameters might be optimized. For discovering plagiarism, semantic similarity depending on intelligent procedures must be applied for extracting the idea. In addition, HGA is employed in finding interrelated cohesive sentences that convey the concept. Results reveal the capability of the system to present a significant improvement over compared systems.

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Author information

Authors and Affiliations

  1. Institute of Graduate Studies and Research, Alexandria University, Alexandria, Egypt

    Saad M. Darwish & Mayar M. Moawad

Authors
  1. Saad M. Darwish
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  2. Mayar M. Moawad
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Corresponding author

Correspondence to Mayar M. Moawad .

Editor information

Editors and Affiliations

  1. Cairo University, Giza, Egypt

    Aboul Ella Hassanien

  2. The British University in Dubai, Dubai, United Arab Emirates

    Khaled Shaalan

  3. Ain Shams University, Cairo, Egypt

    Mohamed Fahmy Tolba

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Darwish, S.M., Moawad, M.M. (2020). An Adaptive Plagiarism Detection System Based on Semantic Concept and Hierarchical Genetic Algorithm. In: Hassanien, A., Shaalan, K., Tolba, M. (eds) Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2019. AISI 2019. Advances in Intelligent Systems and Computing, vol 1058. Springer, Cham. https://doi.org/10.1007/978-3-030-31129-2_67

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