Big Data Analytics for Time Critical Mobility Forecasting

Risultati finali

This deliverable will elaborate the Aviation use case presented in the proposal up to the level needed by the scientific partners working in the architecture and integration tasks. This will include description/specification of: (a) Data sets to be integrated, (b) Metrics used, (c) Events relevant for the use case.

Maritime final validation report

This report culminates the overall objective performing the experiments and driving conclusions on the measured outcome, as far as the maritime domain is concerned. Experiment execution, and evaluation of the results will be documented.

Architecture Specification

Based on the requirements analysis results, and the existing body of knowledge concerning big data architectures, this deliverable will specify the datACRON software architecture. The interaction with the requirements analysis task will also help to identify key interfaces between software components, facilitating their interoperability. Similarly, research in WP2-WP4 will provide input to the architecture specification, in order to attain a coherent overall architecture.

datACRON DMP (2nd Version)

The datACRON Data Management Plan (datACRON DMP) details what data the project will collect, generate, how will be exploited or made accessible for verification and re-use, and how it will be curated and preserved. This is the 2nd version of this deliverable consolidating material from other deliverables towards making a coherent plan.

Maritime experiments specification

This deliverable specifies the experiments to be conducted in detail. The specifications include the dataset to use, the steps to perform, what to measure and the targeted values. The document will specify all the details needed to perform the experiments in a rigorous and repeatable way: What exactly will be measured and how, thresholds defining good or bad results, will be included.

Software Design (interim)

This deliverable specifies the first version of the datACRON integrated prototype system design, based on the requirements defined in T1.1 and the overall architecture specified in T1.2.. The task has two iterations. This is the result of the first iteration. The second design iteration focuses on the integration with WP2-WP4.

Project website, wiki, social media channels

This deliverable will present the project website, wiki and social media accounts be maintained and exploited to gather and disseminate all the information related to Project. These communication chammels will facilitate direct feedback and discussions with experts or other parties.

Requirements Analysis

This deliverable will defines requirements for the datACRON integrated system, by also considering the different data sources and the detailed use case scenarios described in Tasks 5.1 and 6.1 Each requirement will be formally specified with validation criteria (preferably quantified validation criteria); also linked to research objectives in WP2-WP4, and defining the core integration hotspots between work packages.

Evaluating VA methods in several scenarios and workflows

This deliverable reports on the evaluation methods and results achieved by evaluating the VA methods developed in tasks T4.1-T4.4 in corresponding usage scenarios with appropriate categories of professional users.

Maritime data preparation and curation (interim)

This is the interim version of the deliverable providing the precise definition of the datasets to be used in the research and for the evaluation and validation purposes. Specifically, multiple, heterogeneous and disperse datasets are expected to be used in maritime use case validation. This will include details of datasets physical implementation and results of datasets quality assessments, as well as data curation techniques to guarantee continuous data consistency and availability.

Aviation data preparation and curation (interim)

This is the interim version of the deliverable providing the precise definition of the datasets to be used in the research and for the evaluation and validation purposes. Specifically, multiple, heterogeneous and disperse datasets are expected to be used in aviation use case validation. This will include details of datasets physical implementation and results of datasets quality assessments, as well as data curation techniques to guarantee continuous data consistency and availability.

Aviation experiments specification

Software Design (final)

This deliverable specifies the datACRON integrated prototype system design, based on the requirements defined in T1.1 and the overall architecture specified in T1.2. This deliverable will integrate results produced by T1.3 and WP2-W4, and will take into consideration the interaction with WP5 and WP6 to ensure the successful deployment of the system to use-case and stakeholders’ sites. The task has two iterations. The result of the first iteration is delivered as interim design at M18.

Dissemination Report (interim)

This interim report specifies the datACRON dissemination strategy and achievements, supporting communication with targeted audiences, communities and businesses by developing information material, articles and white papers on project achievements, via the organization of and participation in events, using different kinds of communication strategies and mediums.

Dissemination Report (final)

This report specifies the datACRON dissemination strategy and achievements, supporting communication with targeted audiences, communities and businesses by developing information material, articles and white papers on project achievements, via the organization of and participation in events, using different kinds of communication strategies and mediums. A first version of this report is delivered in M18.

Aviation data preparation and curation (final)

This is the final version of the deliverable providing the precise definition of the datasets to be used in the research and for the evaluation and validation purposes. Specifically, multiple, heterogeneous and disperse datasets are expected to be used in aviation use case validation. This will include details of datasets physical implementation and results of datasets quality assessments, as well as data curation techniques to guarantee continuous data consistency and availability. Some of the datasets may need to be generated or updated during the project collecting the daily data generated by real-life systems. Thus, an interim version of this deliverable will be delivered in M06.

Maritime use case detailed definition

This deliverable will elaborate the Maritime use case presented in the Description of Action, part B, up to the level needed by the scientific partners working in the architecture and integration tasks. This will include: (a) Data sets to be integrated, (b) Performance metrics, specifically focused on the enhancement of an operational capability, (c) Definition of a taxonomy of anomalies at sea, (d) Development of an integrated air-maritime scenario and use case in collaboration with WP6.

Project handbook

This deliverable documents the main project procedures. These procedures will be presented and agreed at the kick-off meeting chaired by the coordinator.

Training Report (final)

This deliverable reports on datACRON training actions, which will include training of students and researchers and will encompass the organization of educational courses and workshops. A first version of this deliverable is delivered in M18.

datACRON DMP (1st Version)

The datACRON Data Management Plan (datACRON DMP) details what data the project will collect, generate, how will be exploited or made accessible for verification and re-use, and how it will be curated and preserved. This is the 1st version of this deliverable. The next and the final versions of the datACRON DMP will consolidate material from other deliverables towards making a coherent plan.

Ethics management plan

This deliverable details or ethical issues concerning datACRON and how these will be managed by consortium partners. Specifically, this deliverable will address A. All ethics issues described in section 5.1. of part B, in this Description of Action B. Issues regarding humans: • Details on the procedures and criteria that will be used to identify/recruit the professional end users. More specifically, information on how the consortium will reach these participants (own network, web announcement, social media, press release...), how the potential participants will be gratified (if any gratification is planned), what will be the burden for them if they accept to participate. • Detailed information on the informed consent procedures that will be implemented. • Templates of project related information sheets and consent forms. These documents must include information in language understandable to the field tests participants as regard to their right to withdraw at any time without any harm being done to their and their careers. Material stating the perimeter, nature, usage, potential commercial reuse of their personal or other collected data must be included. C. Issues regarding protection of personal data: • Potential privacy risks related to noise reduction processes. • The integration of privacy by design within the process. • Identification and documentation of the licensing options (creative commons, etc...). • Detailed information on the procedures that will be implemented for data collection, use and reuse, consent, storage, protection, retention, destruction, and how the professional users will be consented. • Measures to ensure continued compliance with national and EU legislation on data protection. D. Issues regarding dual use: • Assessment, documentation and mitigation of mission/function creep risks.

Maritime data preparation and curation (final)

This is the final version of the deliverable providing the precise definition of the datasets to be used in the research and for the evaluation and validation purposes. Specifically, multiple, heterogeneous and disperse datasets are expected to be used in maritime use case validation. This will include details of datasets physical implementation and results of datasets quality assessments, as well as data curation techniques to guarantee continuous data consistency and availability. Some of the datasets may need to be generated or updated during the project collecting the daily data generated by real-life systems. Thus, an interim version of this deliverable is delivered in M06.

Aviation final validation report

This report culminates the overall objective performing the experiments and driving conclusions on the measured outcome, as far as the aviation domain is concerned. Experiment execution, and evaluation of the results will be documented.

Integrated prototype evaluation report

This deliverable will report on evaluation results from the integrated datACRON software prototype against the validation criteria collected in T1.1. The task will start from M13 (to give early results to the integration task) and will run evaluation cycles in order to provide feedback to the overall system and to different components development activities. This deliverable is constantly updated from M18 to M36.

Integrated prototype (interim)

This deliverable provides the first version of the datACRON integrated prototype system, based on the requirements defined in T1.1, the overall architecture specified in T1.2 and the system design in T1.3.

integrated prototype (final)

This deliverable provides the final version of the datACRON integrated prototype system, based on the requirements defined in T1.1, the overall architecture specified in T1.2 and the system design in T1.3. This deliverable will also integrate results produced by WP2-W4, and will take into consideration the interaction with WP5 and WP6 to ensure the successful deployment of the system to use-case and stakeholders’ sites. The task has two iterations. The result of the first iteration is delivered as interim design at M18.

datACRON DMP (final)

The datACRON Data Management Plan (datACRON DMP) details what data the project will collect, generate, how will be exploited or made accessible for verification and re-use, and how it will be curated and preserved. This is the final version of this deliverable, making a coherent data management plan.

Pubblicazioni

Clustering Trajectories by Relevant Parts for Air Traffic Analysis

Autori: Gennady Andrienko, Natalia Andrienko, Georg Fuchs, Jose Manuel Cordero Garcia
Pubblicato in: IEEE Transactions on Visualization and Computer Graphics, Numero 24/1, 2018, Pagina/e 34-44, ISSN 1077-2626
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/TVCG.2017.2744322

SPARTAN: Semantic integration of big spatio-temporal data from streaming and archival sources

Autori: Georgios M. Santipantakis, Apostolos Glenis, Kostas Patroumpas, Akrivi Vlachou, Christos Doulkeridis, George A. Vouros, Nikos Pelekis, Yannis Theodoridis
Pubblicato in: Future Generation Computer Systems, 2018, ISSN 0167-739X
Editore: Elsevier BV
DOI: 10.1016/j.future.2018.07.007

Unveiling movement uncertainty for robust trajectory similarity analysis

Autori: Andre Salvaro Furtado, Luis Otavio Campos Alvares, Nikos Pelekis, Yannis Theodoridis, Vania Bogorny
Pubblicato in: International Journal of Geographical Information Science, Numero 32/1, 2017, Pagina/e 140-168, ISSN 1365-8816
Editore: Taylor & Francis
DOI: 10.1080/13658816.2017.1372763

Ontology-based Design of Experiments on Big Data Solutions

Autori: Zocholl, Maximilian; Camossi, Elena; Jousselme, Anne-Laure; Ray, Cyril
Pubblicato in: SEMANTICS, Numero 3, 2018, ISSN 1613-0073
Editore: ACM
DOI: 10.5281/zenodo.1441306

Semi-Supervised Online Structure Learning for Composite Event Recognition

Autori: Evangelos Michelioudakis; Alexander Artikis; Georgios Paliouras
Pubblicato in: Machine Learning, Numero 1, 2019, ISSN 0885-6125
Editore: Kluwer Academic Publishers
DOI: 10.5281/zenodo.2541610

Visual exploration of movement and event data with interactive time masks

Autori: Natalia Andrienko, Gennady Andrienko, Elena Camossi, Christophe Claramunt, Jose Manuel Cordero Garcia, Georg Fuchs, Melita Hadzagic, Anne-Laure Jousselme, Cyril Ray, David Scarlatti, George Vouros
Pubblicato in: Visual Informatics, Numero 1/1, 2017, Pagina/e 25-39, ISSN 2468-502X
Editore: ScienceDirect
DOI: 10.1016/j.visinf.2017.01.004

On querying and mining semantic-aware mobility timelines

Autori: Stylianos Sideridis, Nikos Pelekis, Yannis Theodoridis
Pubblicato in: International Journal of Data Science and Analytics, Numero 2/1-2, 2016, Pagina/e 29-44, ISSN 2364-415X
Editore: Springer Professional
DOI: 10.1007/s41060-016-0030-1

Simulating Our LifeSteps by Example

Autori: Nikos Pelekis, Stylianos Sideridis, Panagiotis Tampakis, Yannis Theodoridis
Pubblicato in: ACM Transactions on Spatial Algorithms and Systems, Numero 2/3, 2016, Pagina/e 1-39, ISSN 2374-0353
Editore: ACM
DOI: 10.1145/2937753

On temporal-constrained sub-trajectory cluster analysis

Autori: Nikos Pelekis, Panagiotis Tampakis, Marios Vodas, Christos Doulkeridis, Yannis Theodoridis
Pubblicato in: Data Mining and Knowledge Discovery, 2017, ISSN 1384-5810
Editore: Kluwer Academic Publishers
DOI: 10.1007/s10618-017-0503-4

Online event recognition from moving vessel trajectories

Autori: Kostas Patroumpas, Elias Alevizos, Alexander Artikis, Marios Vodas, Nikos Pelekis, Yannis Theodoridis
Pubblicato in: GeoInformatica, Numero 21/2, 2017, Pagina/e 389-427, ISSN 1384-6175
Editore: Kluwer Academic Publishers
DOI: 10.1007/s10707-016-0266-x

Visual Analytics of Mobility and Transportation: State of the Art and Further Research Directions

Autori: Gennady Andrienko, Natalia Andrienko, Wei Chen, Ross Maciejewski, Ye Zhao
Pubblicato in: IEEE Transactions on Intelligent Transportation Systems, 2017, Pagina/e 1-18, ISSN 1524-9050
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/TITS.2017.2683539

Understanding movement data quality

Autori: Gennady Andrienko, Natalia Andrienko, Georg Fuchs
Pubblicato in: Journal of Location Based Services, Numero 10/1, 2016, Pagina/e 31-46, ISSN 1748-9725
Editore: Taylor & Francis
DOI: 10.1080/17489725.2016.1169322

RDF-Gen - Generating RDF from Streaming and Archival Data

Autori: Georgios M. Santipantakis, Konstantinos I. Kotis, George A. Vouros, Christos Doulkeridis
Pubblicato in: Proceedings of the 8th International Conference on Web Intelligence, Mining and Semantics - WIMS '18, 2018, Pagina/e 1-10, ISBN 9781-450354899
Editore: ACM Press
DOI: 10.1145/3227609.3227658

A distributed online learning approach for pattern prediction over movement event streams with apache flink: Paper presented at EDBT/ICT 2018 Joint Conference, March 26, 2018, Vienna, Austria

Autori: Qadah, Ehab; Mock, Michael; Alevizos, Elias; Fuchs, Georg
Pubblicato in: Fraunhofer IAIS, Numero 8, 2018
Editore: Fraunhofer

Event Forecasting with Pattern Markov Chains

Autori: Elias Alevizos, Alexander Artikis, George Paliouras
Pubblicato in: Proceedings of the 11th ACM International Conference on Distributed and Event-based Systems - DEBS '17, 2017, Pagina/e 146-157, ISBN 9781-450350655
Editore: ACM Press
DOI: 10.1145/3093742.3093920

Big data for Maritime Domain Awareness: An AIS case study

Autori: Kleynhans, Waldo
Pubblicato in: Numero 6, 2019
Editore: CMRE
DOI: 10.5281/zenodo.2274078

Specification of Semantic Trajectories and Data Transformations for Analytics: The datAcron Ontology

Autori: Georgios Santipantakis; George Vouros; Christos Doulkeridis; Akrivi Vlachou; Gennady Andrienko; Natalia Andrienko; Jose Manuel Cordero; Miguel Garcia Martinez
Pubblicato in: SEMANTICS, Numero 10, 2018
Editore: ACM
DOI: 10.5281/zenodo.853046

On-the-fly mobility event detection over aircraft trajectories

Autori: Kostas Patroumpas, Nikos Pelekis, Yannis Theodoridis
Pubblicato in: Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems - SIGSPATIAL '18, 2018, Pagina/e 259-268, ISBN 9781-450358897
Editore: ACM Press
DOI: 10.1145/3274895.3274970

Test case development for big data solution evaluation

Autori: Zocholl, Maximilian; Camossi, Elena; Jousselme, Anne-Laure
Pubblicato in: Numero 3, 2019
Editore: CMRE
DOI: 10.5281/zenodo.2272866

Efficient Spatio-temporal RDF Query Processing in Large Dynamic Knowledge Bases

Autori: A. Vlachou; C. Doulkeridis; A. Glenis; G. M. Santipantakis; G. A. Vouros
Pubblicato in: SAC 2019, 2019
Editore: ACM

Generating linked RDF data from heterogeneous streaming and archival data sources: Populating the datAcron ontology

Autori: Nikolaos Koutroumanis, Georgios Santipantakis, Apostolos Glenis, Christos Doulkeridis and George Vouros
Pubblicato in: 2019
Editore: CEUR-WS.org

Integration of Mobility Data with Weather Information

Autori: Nikolaos Koutroumanis; Georgios Santipantakis; Apostolos Glenis; Christos Doulkeridis; George A. Vouros
Pubblicato in: 2019
Editore: CEUR-WS.org

A Fishing Monitoring Use Case in Support to Collaborative Research

Autori: Jousselme, Anne-Laure; Camossi, Elena; Hadzagic, Melita; Ray, Cyril; Claramunt, Christophe; Reardon, Eric; Bryan, Karna; Ilteris, Michael
Pubblicato in: Numero 4, 2016
Editore: JRC
DOI: 10.5281/zenodo.804845

Pseudo-synthetic datasets in support to maritime surveillance algorithms assessment

Autori: Clément Iphar, Anne-Laure Jousselme, Cyril Ray
Pubblicato in: VERITA Workshop, 2019
Editore: EGC

Wayeb: a Tool for Complex Event Forecasting

Autori: Elias Alevizos, Alexander Artikis, Georgios Paliouras
Pubblicato in: EPiC Series in Computing volume 57, 2018, Pagina/e 26-15, ISSN 2398-7340
Editore: IEEE
DOI: 10.29007/2s9t

A Prototype for Maritime Event Forecasting

Autori: Alevizos, Elias; Artikis, Alexander
Pubblicato in: Numero 1, 2019
Editore: CMRE
DOI: 10.5281/zenodo.2273771

Taming big maritime data to support analytics

Autori: Vouros, George A.; Christos Doulkeridis; Georgios Santipantakis; Akrivi Vlachou
Pubblicato in: Information Fusion and Intelligent Geographic Information Systems (IF&IGIS'17) New Frontiers in Information Fusion and Intelligent GIS: From Maritime to Land-based Research, Numero 1, 2017, Pagina/e 15-27, ISBN 978-3-319-59538-2
Editore: Springer International Publishing
DOI: 10.5281/zenodo.571353

A Fishing Monitoring Use Case in Support to Collaborative Research

Autori: Jousselme, Anne-Laure; Camossi, Elena; Hadzagic, Melita; Ray, Cyril; Claramunt, Christophe; Reardon, Eric; Bryan, Karna; Ilteris, Michael
Pubblicato in: Maritime Knowledge Discovery and Anomaly Detection Workshop Proceedings, Numero 1, 2016, Pagina/e 57-61, ISBN 978-92-79-61301-2
Editore: Publications Office of the European Union, 2016
DOI: 10.2788/025881

The datAcron Ontology for Semantic Trajectories

Autori: Georgios M. Santipantakis; Vouros, George A.; Apostolos Glenis; Christos Doulkeridis; Akrivi Vlachou
Pubblicato in: ESWC 2017 Poster & Demo Sessions - LNCS Vol. 10577, Numero 1, 2017
Editore: Springer
DOI: 10.5281/zenodo.570885

Maritime Data Integration and Analysis: Recent Progress and Research Challenges

Autori: Claramunt, Christophe; Ray, Cyril; Camossi, Elena; Jousselme, Anne-Laure; Hadzagic, Melita; Andrienko, Gennady; Andrienko, Natalia; Theodoridis, Yannis; Vouros, George; Salmon, Loic
Pubblicato in: EDBT 2017, Numero 1, 2017, ISBN 978-3-89318-073-8
Editore: OpenProceedings.org
DOI: 10.5441/002/edbt.2017.18

Big Data Management and Analytics for Mobility Forecasting in datAcron

Autori: Christos Doulkeridis, Nikos Pelekis,Yannis Theodoridis and George A. Vouros
Pubblicato in: Proceedings of the Workshops of the EDBT/ICDT 2017 Joint Conference (EDBT/ICDT) 2017, 2017
Editore: CEUR
DOI: 10.5281/zenodo.814798

Continuous detection of black holes for moving objects at sea

Autori: Loic Salmon, Cyril Ray, Christophe Claramunt
Pubblicato in: Proceedings of the 7th ACM SIGSPATIAL International Workshop on GeoStreaming - IWGS '16, 2016, Pagina/e 1-10, ISBN 9781-450345798
Editore: ACM Press
DOI: 10.1145/3003421.3003423

In-DBMS Sampling-based Sub-trajectory Clustering

Autori: Nikos Pelekis, Panagiotis Tampakis, Marios Vodas, Costas Panagiotakis and Yannis Theodoridis
Pubblicato in: Proceedings of the 20th International Conference on Extending Database Technology, EDBT 2017, 2017, Pagina/e 632-643, ISBN 978-3-89318-073-8
Editore: Open Proceedings
DOI: 10.5441/002/edbt.2017.84

CONTEXTUAL ANOMALOUS DESTINATION DETECTION FOR MARITIME SURVEILLANCE

Autori: Hadzagic, Melita; Jousselme, Anne-Laure
Pubblicato in: Maritime Knowledge Discovery and Anomaly Detection Workshop Proceedings, Numero 1, 2016, Pagina/e 62-65, ISBN 978-92-79-61301-2
Editore: Publications Office of the European Union, 2016

Distributed online learning for large-scale pattern prediction over real-time event streams

Autori: Qadah, Ehab
Pubblicato in: Fraunhofer IAIS, Numero 8, 2018
Editore: University of Bonn

MaskLink: Efficient Link Discovery for Spatial Relations via Masking Areas

Autori: Santipantakis, Georgios; Doulkeridis, Christos; Vouros, George A.; Vlachou, Akrivi
Pubblicato in: CoRR, Numero 7, 2018
Editore: arXiv

Big Data heralds new era for time-critical mobility forecasting and situation awareness - Adding significant value to real-time tracking and forecasting mobility

Autori: George Vouros
Pubblicato in: 2017
Editore: IMPACT

A Task-Based View on the Visual Analysis of Eye-Tracking Data

Autori: Kuno Kurzhals, Michael Burch, Tanja Blascheck, Gennady Andrienko, Natalia Andrienko, Daniel Weiskopf
Pubblicato in: Eye Tracking and Visualization, 2017, Pagina/e 3-22, ISBN 978-3-319-47023-8
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-47024-5_1

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