Mashup tools for big data analysis in maritime surveillance

George Melillos; Kyriacos Themistocleous; Christos Danezis; Silas Michaelides; Diofantos G. Hadjimitsis; Sven Jacobsen; Björn Tings

doi:10.1117/12.2573749

20 September 2020 Mashup tools for big data analysis in maritime surveillance

George Melillos, Kyriacos Themistocleous, Christos Danezis, Silas Michaelides, Diofantos G. Hadjimitsis, Sven Jacobsen, Björn Tings

Author Affiliations +

Proceedings Volume 11542, Counterterrorism, Crime Fighting, Forensics, and Surveillance Technologies IV; 1154208 (2020) https://doi.org/10.1117/12.2573749
Event: SPIE Security + Defence, 2020, Online Only

Abstract

The growth of big data and its popularity in maritime surveillance has increased at an exponential rate. The amount of maritime information being collected every minute around the world exceeds the capacity of traditional databases. The development of real-time, Geospatial Web Applications e.g., MarineTraffic and VesselFinder AIS vessel tracking web sites, provide us with huge sets of structured and unstructured data that are too complex for traditional data-processing software. The aim of this paper is to exploit the benefits of query and mashup amounts of maritime data using mashup tools as a result to create a single, unique visualization. The results show that using mashup techniques in maritime surveillance could be used to monitor, compare, combine, manipulate and analyse Big Maritime data. Therefore, research on Maritime Data offers a huge potential and an opportunity to benefit from the advantages.

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Citation Download Citation

George Melillos, Kyriacos Themistocleous, Christos Danezis, Silas Michaelides, Diofantos G. Hadjimitsis, Sven Jacobsen, and Björn Tings "Mashup tools for big data analysis in maritime surveillance", Proc. SPIE 11542, Counterterrorism, Crime Fighting, Forensics, and Surveillance Technologies IV, 1154208 (20 September 2020); https://doi.org/10.1117/12.2573749

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