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Data Reduction Techniques Applied on Automatic Identification System Data

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Semantic Keyword-Based Search on Structured Data Sources (IKC 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10546))

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Abstract

In recent years, the constant increase of waterway traffic generates a high volume of Automatic Identification System data that require a big effort to be processed and analyzed in near real-time. In this paper, we analyze an Automatic Identification System data set and we propose a data reduction technique that can be applied on Automatic Identification System data without losing any important information in order to reduce it to a manageable size data set that can be further used for analysis or can be easily used for Automatic Identification System data visualization applications.

I. Iuga—Independent Researcher.

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References

  1. What is the Automatic Identification System (AIS)? https://help.marinetraffic.com/hc/en-us/articles/204581828-What-is-the-Automatic-Identification-System-AIS-

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Acknowledgments

This work has been partially supported by COST Action IC1302: Semantic keyword-based search on structured data sources (KEYSTONE); we particularly acknowledge the support of the grant COST-STSM-IC1302-36978: “Curating Data Analysis Workflows for Better Workflow Discovery”.

Author information

Authors and Affiliations

  1. Faculty of Automatic Control and Computers Computer Science Department, University Politehnica of Bucharest, Bucharest, 060042, Romania

    Claudia Ifrim & Florin Pop

  2. Bucharest, Romania

    Iulian Iuga

  3. Knowledge and Uncertainty Research Laboratory Department of Informatics and Telecommunications, University of the Peloponnese, 22 131, Tripolis, Greece

    Manolis Wallace & Vassilis Poulopoulos

Authors
  1. Claudia Ifrim
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  2. Iulian Iuga
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  3. Florin Pop
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  4. Manolis Wallace
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  5. Vassilis Poulopoulos
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Corresponding author

Correspondence to Manolis Wallace .

Editor information

Editors and Affiliations

  1. Gdańsk University of Technology, Gdańsk, Poland

    Julian Szymański

  2. Università degli Studi di Trento, Trento, Italy

    Yannis Velegrakis

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Ifrim, C., Iuga, I., Pop, F., Wallace, M., Poulopoulos, V. (2018). Data Reduction Techniques Applied on Automatic Identification System Data. In: Szymański, J., Velegrakis, Y. (eds) Semantic Keyword-Based Search on Structured Data Sources. IKC 2017. Lecture Notes in Computer Science(), vol 10546. Springer, Cham. https://doi.org/10.1007/978-3-319-74497-1_2

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  • DOI: https://doi.org/10.1007/978-3-319-74497-1_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-74496-4

  • Online ISBN: 978-3-319-74497-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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