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Digital Content Refinement by Collecting Partly Unreliable Attributes over a Network

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Advances on Broad-Band Wireless Computing, Communication and Applications (BWCCA 2019)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 97))

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Abstract

The concept of refining digital content downloaded over a network is introduced. If a content item consists of a lot of preliminarily defined attributes, then content refinement can be executed by collecting a number of partly unreliable releases of the same content item from different information sources. In the refinement process, each release of the content item is divided into attributes of signifieds or signifié and weighted majority voting is applied to determine the most probable signifier or significant of the attributes. In addition, results of a simple experiment are presented to show the advantages of content refinement.

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Notes

  1. 1.

    In other words, sign or signe.

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Acknowledgement

This work was partially supported by JSPS KAKENHI Grant Number JP17K00134.

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Authors and Affiliations

  1. Chiba Institute of Technology, Narashino, 275-0016, Japan

    Shinji Sugawara

Authors
  1. Shinji Sugawara
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Correspondence to Shinji Sugawara .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Department of Electronics, University of Antwerp, Antwerp, Belgium

    Peter Hellinckx

  3. Rissho University, Tokyo, Japan

    Tomoya Enokido

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Sugawara, S. (2020). Digital Content Refinement by Collecting Partly Unreliable Attributes over a Network. In: Barolli, L., Hellinckx, P., Enokido, T. (eds) Advances on Broad-Band Wireless Computing, Communication and Applications. BWCCA 2019. Lecture Notes in Networks and Systems, vol 97. Springer, Cham. https://doi.org/10.1007/978-3-030-33506-9_26

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  • DOI: https://doi.org/10.1007/978-3-030-33506-9_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-33505-2

  • Online ISBN: 978-3-030-33506-9

  • eBook Packages: EngineeringEngineering (R0)

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