Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/21976
DC FieldValueLanguage
dc.contributor.authorMelillos, George-
dc.contributor.authorThemistocleous, Kyriacos-
dc.contributor.authorDanezis, Chris-
dc.contributor.authorMichaelides, Silas-
dc.contributor.authorHadjimitsis, Diofantos G.-
dc.contributor.authorJacobsen, Sven-
dc.contributor.authorTings, Björn-
dc.date.accessioned2021-02-26T08:51:11Z-
dc.date.available2021-02-26T08:51:11Z-
dc.date.issued2020-09-20-
dc.identifier.citationProceedings Volume 11542, Counterterrorism, Crime Fighting, Forensics, and Surveillance Technologies IVen_US
dc.identifier.urihttps://hdl.handle.net/20.500.14279/21976-
dc.description.abstractThe 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.formatpdfen_US
dc.language.isoenen_US
dc.relationERATOSTHENES: Excellence Research Centre for Earth Surveillance and Space-Based Monitoring of the Environmenten_US
dc.relation.ispartofCounterterrorism, Crime Fighting, Forensics, and Surveillance Technologies IVen_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationalen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectMaritime Surveillanceen_US
dc.subjectBig Dataen_US
dc.subjectMashup Toolsen_US
dc.subjectPythonen_US
dc.subjectWeb Scrapingen_US
dc.subjectAISen_US
dc.titleMashup Tools for Big Data Analysis in Maritime Surveillanceen_US
dc.typeConference Papersen_US
dc.collaborationCyprus University of Technologyen_US
dc.collaborationERATOSTHENES Centre of Excellenceen_US
dc.collaborationDLR - German Aerospace Centeren_US
dc.subject.categoryCivil Engineeringen_US
dc.journalsSubscriptionen_US
dc.countryGermanyen_US
dc.countryCyprusen_US
dc.subject.fieldEngineering and Technologyen_US
dc.publicationPeer Revieweden_US
dc.relation.conferenceSPIE Security + Defenceen_US
dc.identifier.doi10.1117/12.2573749en_US
dc.relation.issue1154208en_US
dc.relation.volume11542en_US
cut.common.academicyear2020-2021en_US
item.fulltextWith Fulltext-
item.languageiso639-1en-
item.grantfulltextopen-
item.openairecristypehttp://purl.org/coar/resource_type/c_c94f-
item.cerifentitytypePublications-
item.openairetypeconferenceObject-
crisitem.project.funderEC-
crisitem.project.grantnoH2020-WIDESPREAD-2018-01 / WIDESPREAD-01-2018-2019 Teaming Phase 2-
crisitem.project.fundingProgramH2020 Spreading Excellence, Widening Participation, Science with and for Society-
crisitem.project.openAireinfo:eu-repo/grantAgreeent/EC/H2020/857510-
crisitem.author.deptDepartment of Civil Engineering and Geomatics-
crisitem.author.deptDepartment of Civil Engineering and Geomatics-
crisitem.author.deptDepartment of Civil Engineering and Geomatics-
crisitem.author.deptDepartment of Civil Engineering and Geomatics-
crisitem.author.deptDepartment of Civil Engineering and Geomatics-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.orcid0000-0002-8292-1836-
crisitem.author.orcid0000-0003-4149-8282-
crisitem.author.orcid0000-0002-0248-1085-
crisitem.author.orcid0000-0002-3853-5065-
crisitem.author.orcid0000-0002-2684-547X-
crisitem.author.parentorgFaculty of Engineering and Technology-
crisitem.author.parentorgFaculty of Engineering and Technology-
crisitem.author.parentorgFaculty of Engineering and Technology-
crisitem.author.parentorgFaculty of Engineering and Technology-
crisitem.author.parentorgFaculty of Engineering and Technology-
Appears in Collections:EXCELSIOR H2020 Teaming Project Publications
Files in This Item:
CORE Recommender
Show simple item record

Page view(s)

395
Last Week
0
Last month
32
checked on Mar 14, 2025

Download(s)

436
checked on Mar 14, 2025

Google ScholarTM

Check

Altmetric


This item is licensed under a Creative Commons License Creative Commons