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.

Conference Presentation

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

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE