Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/21976
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Melillos, George | - |
dc.contributor.author | Themistocleous, Kyriacos | - |
dc.contributor.author | Danezis, Chris | - |
dc.contributor.author | Michaelides, Silas | - |
dc.contributor.author | Hadjimitsis, Diofantos G. | - |
dc.contributor.author | Jacobsen, Sven | - |
dc.contributor.author | Tings, Björn | - |
dc.date.accessioned | 2021-02-26T08:51:11Z | - |
dc.date.available | 2021-02-26T08:51:11Z | - |
dc.date.issued | 2020-09-20 | - |
dc.identifier.citation | Proceedings Volume 11542, Counterterrorism, Crime Fighting, Forensics, and Surveillance Technologies IV | en_US |
dc.identifier.uri | https://hdl.handle.net/20.500.14279/21976 | - |
dc.description.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. | en_US |
dc.format | en_US | |
dc.language.iso | en | en_US |
dc.relation | ERATOSTHENES: Excellence Research Centre for Earth Surveillance and Space-Based Monitoring of the Environment | en_US |
dc.relation.ispartof | Counterterrorism, Crime Fighting, Forensics, and Surveillance Technologies IV | en_US |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | en_US |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Maritime Surveillance | en_US |
dc.subject | Big Data | en_US |
dc.subject | Mashup Tools | en_US |
dc.subject | Python | en_US |
dc.subject | Web Scraping | en_US |
dc.subject | AIS | en_US |
dc.title | Mashup Tools for Big Data Analysis in Maritime Surveillance | en_US |
dc.type | Conference Papers | en_US |
dc.collaboration | Cyprus University of Technology | en_US |
dc.collaboration | ERATOSTHENES Centre of Excellence | en_US |
dc.collaboration | DLR - German Aerospace Center | en_US |
dc.subject.category | Civil Engineering | en_US |
dc.journals | Subscription | en_US |
dc.country | Germany | en_US |
dc.country | Cyprus | en_US |
dc.subject.field | Engineering and Technology | en_US |
dc.publication | Peer Reviewed | en_US |
dc.relation.conference | SPIE Security + Defence | en_US |
dc.identifier.doi | 10.1117/12.2573749 | en_US |
dc.relation.issue | 1154208 | en_US |
dc.relation.volume | 11542 | en_US |
cut.common.academicyear | 2020-2021 | en_US |
item.fulltext | With Fulltext | - |
item.languageiso639-1 | en | - |
item.grantfulltext | open | - |
item.openairecristype | http://purl.org/coar/resource_type/c_c94f | - |
item.cerifentitytype | Publications | - |
item.openairetype | conferenceObject | - |
crisitem.project.funder | EC | - |
crisitem.project.grantno | H2020-WIDESPREAD-2018-01 / WIDESPREAD-01-2018-2019 Teaming Phase 2 | - |
crisitem.project.fundingProgram | H2020 Spreading Excellence, Widening Participation, Science with and for Society | - |
crisitem.project.openAire | info:eu-repo/grantAgreeent/EC/H2020/857510 | - |
crisitem.author.dept | Department of Civil Engineering and Geomatics | - |
crisitem.author.dept | Department of Civil Engineering and Geomatics | - |
crisitem.author.dept | Department of Civil Engineering and Geomatics | - |
crisitem.author.dept | Department of Civil Engineering and Geomatics | - |
crisitem.author.dept | Department of Civil Engineering and Geomatics | - |
crisitem.author.faculty | Faculty of Engineering and Technology | - |
crisitem.author.faculty | Faculty of Engineering and Technology | - |
crisitem.author.faculty | Faculty of Engineering and Technology | - |
crisitem.author.faculty | Faculty of Engineering and Technology | - |
crisitem.author.faculty | Faculty of Engineering and Technology | - |
crisitem.author.orcid | 0000-0002-8292-1836 | - |
crisitem.author.orcid | 0000-0003-4149-8282 | - |
crisitem.author.orcid | 0000-0002-0248-1085 | - |
crisitem.author.orcid | 0000-0002-3853-5065 | - |
crisitem.author.orcid | 0000-0002-2684-547X | - |
crisitem.author.parentorg | Faculty of Engineering and Technology | - |
crisitem.author.parentorg | Faculty of Engineering and Technology | - |
crisitem.author.parentorg | Faculty of Engineering and Technology | - |
crisitem.author.parentorg | Faculty of Engineering and Technology | - |
crisitem.author.parentorg | Faculty of Engineering and Technology | - |
Appears in Collections: | EXCELSIOR H2020 Teaming Project Publications |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
20200920_EXCELSIOR_WP10_MASHUPTOOLSFORBIGDATAANALYSISINMARITIMESURVEYLLANCE_V1_PU.pdf | 960.08 kB | Adobe PDF | View/Open |
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