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Integrating Information of Films by a Multi-source Combining Framework

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Book cover Advances in Soft Computing (MICAI 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10062))

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Abstract

The paper provides a methodology for the integration of film information from different sources. To identify films information validation algorithms are used. The background and methodology are clearly described. This method can fuse the identical films and complete its information. In order to detect two related film information (they describe the identical film), we proposed three film information validation algorithms. All of these methods can detect films’ information which need integration processing. Our experiments show that method we proposed generally outperforms one-dimensional detection methods by different evaluation methods, i.e., precision, recall and F1.

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Authors and Affiliations

  1. Department of Computer Engineering, Yasouj Branch, Islamic Azad University, Yasouj, Iran

    Elias Dasturian, Hamid Parvin & Samad Nejatian

Authors
  1. Elias Dasturian
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  2. Hamid Parvin
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  3. Samad Nejatian
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Corresponding author

Correspondence to Hamid Parvin .

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Editors and Affiliations

  1. Instituto Politécnico Nacional, Unidad Profesional Interdisciplinaria en Ingeniería y Tecnologías Avanzadas, México DF, Mexico

    Obdulia Pichardo-Lagunas

  2. INFOTEC Aguascalientes, Aguascalientes, Mexico

    Sabino Miranda-Jiménez

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Dasturian, E., Parvin, H., Nejatian, S. (2017). Integrating Information of Films by a Multi-source Combining Framework. In: Pichardo-Lagunas, O., Miranda-Jiménez, S. (eds) Advances in Soft Computing. MICAI 2016. Lecture Notes in Computer Science(), vol 10062. Springer, Cham. https://doi.org/10.1007/978-3-319-62428-0_35

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  • DOI: https://doi.org/10.1007/978-3-319-62428-0_35

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  • Publisher Name: Springer, Cham

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