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CORDIS - EU research results
CORDIS

A Data Platform for the Cognitive Ports of the Future

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Blockchain design specification M09 (opens in new window)

This deliverable will provide the all the functional analysis performed to define the blockchain technology that best fits the project necessities, and all the technical characteristics of the necessary components and connections to integrate this technology in the platform M09, M24

Use case oriented pilots initial version (opens in new window)

This will contain an analysis and design of each one of the pilot activities to be performed in tasks T52T54 Additionally this deliverable will include the first version of the applications developed documenting features implemented build and deployment process and other usage aspects

Blockchain design specification M24 (opens in new window)

This deliverable will provide the all the functional analysis performed to define the blockchain technology that best fits the project necessities and all the technical characteristics of the necessary components and connections to integrate this technology in the platform

Blockchain based data governance rules M20 (opens in new window)

This deliverable will include the blockchain based governance rules to provide data sharing and data trading mechanisms A first version of the deliverable M20 will follow a general approach for the data platform while the second version M30 will focus on data governance rules for the specific pilots and use cases involved in the projectM20 M30

Report of dissemination ad communication results M12 (opens in new window)

This document will describe the dissemination and communication activities carried out in the corresponding period, will monitor the KPIs achieved, and the adoption of potential correction measures M12, M24, M36

Report of clustering activities and scaling-up M12 (opens in new window)

This report will collect all activities carried out in the scope of T6.3 and T6.4, involving community building, initiatives contacted and engaged and level of adoption of the platform by other actors M12, M24, M36

Industrial Data Platforms and seaport community requirements and challenges (opens in new window)

This deliverable will be a report describing the state of the art in related technologies and the benchmarking of existing data platforms related to the use case providers, together with an evaluation of requirements and challenges of the port community in general and the proposed pilots in particular

Use case oriented pilots final version (opens in new window)

This deliverable consists on the final version of the software applications developed in the pilots including changeset final list of features and user documentation

Report of impact and outreach results M39 (opens in new window)

Annual reports of the outreach results and the impact of DataPorts This document will review the achieved KPIs and will define potential correction measures

Platform architecture and specifications (opens in new window)

This deliverable will provide technical and functional specifications of all the components composing the industrial data platform together with the relationships among them and the final architecture It will also include the blockchain design guidelines criteria and solutions envisioned in the scope of T24

Report of impact and outreach results M24 (opens in new window)

Annual reports of the outreach results and the impact of DataPorts This document will review the achieved KPIs and will define potential correction measures

Report of dissemination and communication results M39 (opens in new window)

This document will describe the dissemination and communication activities carried out in the corresponding period will monitor the KPIs achieved and the adoption of potential correction measures

Report of clustering activities and scaling-up M24 (opens in new window)

This report will collect all activities carried out in the scope of T63 and T64 involving community building initiatives contacted and engaged and level of adoption of the platform by other actors

Report of clustering activities and scaling-up M39 (opens in new window)

This report will collect all activities carried out in the scope of T63 and T64 involving community building initiatives contacted and engaged and level of adoption of the platform by other actors

Use cases and applications evaluation report (opens in new window)

This document will report about the technical and business assessment of the different pilots including aspects such as software performance usage metrics usability revenue generated or number of users reached

Report of dissemination and communication results M24 (opens in new window)

This document will describe the dissemination and communication activities carried out in the corresponding period will monitor the KPIs achieved and the adoption of potential correction measures

Integration, software quality assurance and deployment plan (opens in new window)

This deliverable will document the plan of activities and milestones for integration, quality assurance and testing activities regarding the industrial pilots. It will include technical, operational and organizational aspects

Report of impact and outreach results M12 (opens in new window)

Annual reports of the outreach results and the impact of DataPorts. This document will review the achieved KPIs and will define potential correction measures M12, M24, M36

Blockchain based data governance rules M30 (opens in new window)

This deliverable will include the blockchain based governance rules to provide data sharing and data trading mechanisms A first version of the deliverable M20 will follow a general approach for the data platform while the second version M30 will focus on data governance rules for the specific pilots and use cases involved in the project

Evaluation plan (opens in new window)

This deliverable will describe the overall strategy that will be used to guide the evaluation of the demonstration pilots and use cases. It will include, among others, the scope of the evaluation, evaluation objectives and questions, data sources and data collection methods, data analysis strategy, timelines and reporting dates, and roles and responsibilities

Scalability, Interoperability and Definition Standards (opens in new window)

This document will include i requirements for the realisation of a scalable data platform for cognitive ports and its related architecture ii the data flow exchange formats that serves as interfaces between the different services to simplify their orchestration to create a federated platform as a single entry point and iii the updated UNCEFACT Core Components Library that covers all the definitions of the terms used in support of the cognitive ports platform

Data access interfaces (opens in new window)

This deliverable will include the set of interfaces to provide a homogeneous set of access tools, and the adaptation needed to deal with logistics and freight transport sector and to be used in the use cases and pilots

Data processing services M18 (opens in new window)

This deliverable will involve the services offered by the platform in the different steps of the data value chain. It includes the abstraction and virtualization of the collected data, and data semantic interoperability M18, M27

Permissioned Blockchain network M18 (opens in new window)

This deliverable will implement the permissioned blockchain infrastructure that will define data models, authentication and authorization mechanisms, and that will integrate with the rest of components of the platform M18, M27

Permissioned Blockchain network M27 (opens in new window)

This deliverable will implement the permissioned blockchain infrastructure that will define data models authentication and authorization mechanisms and that will integrate with the rest of components of the platform

Data analytics services and cognitive applications M18 (opens in new window)

This deliverable will provide Big Data Analytics as a Service (BDAaaS) to the users of the data platform. Additionally, it will also include, built on top of these services, the needed algorithms to allow the development of cognitive applications M18, M27

Data analytics services and cognitive applications M27 (opens in new window)

This deliverable will provide Big Data Analytics as a Service BDAaaS to the users of the data platform Additionally it will also include built on top of these services the needed algorithms to allow the development of cognitive applications

Data processing services M27 (opens in new window)

This deliverable will involve the services offered by the platform in the different steps of the data value chain It includes the abstraction and virtualization of the collected data and data semantic interoperability

Publications

Especificación y desarrollo de mecanismos de interoperabilidad a nivel de Middleware y Aplicaciones/Servicios entre Plataformas Heterogéneas de Internet de las Cosas (opens in new window)

Author(s): Andreu Belsa Pellicer
Published in: reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia, Issue 1, 2022
Publisher: Universitat Politècnica de València
DOI: 10.4995/thesis/10251/185508

Triggering Proactive Business Process Adaptations via Online Reinforcement Learning (opens in new window)

Author(s): Andreas Metzger, Tristan Kley, Alexander Palm
Published in: Business Process Management - 18th International Conference, BPM 2020, Seville, Spain, September 13–18, 2020, Proceedings, Issue 12168, 2020, Page(s) 273-290, ISBN 978-3-030-58665-2
Publisher: Springer International Publishing
DOI: 10.1007/978-3-030-58666-9_16

Ensemble Deep Learning for Proactive Terminal Process Management at the Port of Duisburg “duisport” (opens in new window)

Author(s): Andreas Metzger, Johannes Franke, Thomas Jansen
Published in: Business Process Management Cases Vol. 2, 2021
Publisher: Springer
DOI: 10.1007/978-3-662-63047-1_12

Towards a Smart Port: The Role of the Telecom Industry (opens in new window)

Author(s): Christos-Antonios Gizelis, Theodoros Mavroeidakos, Achilleas Marinakis, Antonis Litke, Vrettos Moulos
Published in: Artificial Intelligence Applications and Innovations. AIAI 2020 IFIP WG 12.5 International Workshops - MHDW 2020 and 5G-PINE 2020, Neos Marmaras, Greece, June 5–7, 2020, Proceedings, Issue 585, 2020, Page(s) 128-139, ISBN 978-3-030-49189-5
Publisher: Springer International Publishing
DOI: 10.1007/978-3-030-49190-1_12

Towards Cognitive Ports of the Future (opens in new window)

Author(s): Santiago Cáceres, Francisco Valverde, Carlos E. Palau, Andreu Belsa Pellicer, Christos A. Gizelis, Dimosthenes Krassas, Hanane Becha, Réda Khouani, Andreas Metzger, Nikos Tzagkarakis, Anthousa Karkoglou, Anastasios Nikolakopoulos, Achilleas Marinakis, Vrettos Moulos, Antonios Litke, Amir Shayan Ahmadian, and Jan Jürjens
Published in: Technologies and Applications for Big Data Value, 2021, ISBN 978-3-030-78307-5
Publisher: Springer, Cham
DOI: 10.1007/978-3-030-78307-5_20

A Reference Model for Big Data Technologies (opens in new window)

Author(s): Edward Curry, Andreas Metzger, Arne J. Berre, Andrés Monzón, Alessandra Boggio-Marzet
Published in: The Elements of Big Data Value - Foundations of the Research and Innovation Ecosystem, Issue July 2021, 2021, Page(s) 127-151, ISBN 978-3-030-68175-3
Publisher: Springer International Publishing
DOI: 10.1007/978-3-030-68176-0_6

Online Reinforcement Learning for Self-adaptive Information Systems (opens in new window)

Author(s): Alexander Palm, Andreas Metzger, Klaus Pohl
Published in: Advanced Information Systems Engineering - 32nd International Conference, CAiSE 2020, Grenoble, France, June 8–12, 2020, Proceedings, Issue 12127, 2020, Page(s) 169-184, ISBN 978-3-030-49434-6
Publisher: Springer International Publishing
DOI: 10.1007/978-3-030-49435-3_11

Counterfactual Explanations for Predictive Business Process Monitoring (opens in new window)

Author(s): Tsung-Hao Huang, Andreas Metzger, Klaus Pohl
Published in: Information Systems - 18th European, Mediterranean, and Middle Eastern Conference, {EMCIS} 2021, Virtual Event, December 8-9, 2021, Proceedings, 2021
Publisher: Springer
DOI: 10.1007/978-3-030-95947-0_28

SCAL-E: An Auto Scaling Agent for Optimum Big Data Load Balancing in Kubernetes Environments (opens in new window)

Author(s): Efstratios Karypiadis, Anastasios Nikolakopoulos, Achilleas Marinakis, Vrettos Moulos and Theodora Varvarigou
Published in: International Conference on Computer, Information and Telecommunication Systems (CITS), Issue 2022, 2022, ISBN 978-1-6654-8615-6
Publisher: IEEE
DOI: 10.1109/cits55221.2022.9832990

Design of a Next-Generation Interoperable Cognitive Port Solution (opens in new window)

Author(s): Andreu Belsa Pellicer, Matilde Julian Segui, Achilleas Marinakis, Anastasios Nikolakopoulos, Vrettos Moulos, Héctor Iturria, José Antonio Clemente, Xhulja Shahini, Tristan Kley, Andreas Metzger, Miguel Bravo, Paolo Calciati, Christos-Antonios Gizelis, Filippos Nikolopoulos-Gkamatsis, Konstantinos Nestorakis, Ignacio Lacalle, Carlos E. Palau, Santiago Cáceres
Published in: Internet of Things - 5th The Global IoT Summit, GIoTS 2022, Dublin, Ireland, June 20-23, 2022, Revised Selected Papers, 2022
Publisher: Springer
DOI: 10.1007/978-3-031-20936-9_12

Hoplite Antivirus for Adversarial Attacks: A Theoretical Approach (opens in new window)

Author(s): Nikolakopoulos, A.; Marinakis, A.; Moulos, V. and Varvarigou, T.
Published in: Proceedings of the 17th International Conference on Web Information Systems and Technologies - DMMLACS, 2021
Publisher: SciTePress
DOI: 10.5220/0010721600003058

Data quality issues in online reinforcement learning for self-adaptive systems (keynote) (opens in new window)

Author(s): Andreas Metzger
Published in: SEA4DQ 2022: Proceedings of the 2nd International Workshop on Software Engineering and AI for Data Quality in Cyber-Physical Systems/Internet of Things, 2022
Publisher: ACM
DOI: 10.1145/3549037.3570194

Efficient Data Management and Interoperability Middleware in Business-Oriented Smart Port Use Cases (opens in new window)

Author(s): Achilleas Marinakis, Matilde Julian Segui, Andreu Belsa Pellicer, Carlos E. Palau, Christos-Antonios Gizelis, Anastasios Nikolakopoulos, Antonios Misargopoulos, Filippos Nikolopoulos-Gkamatsis, Michalis Kefalogiannis, Theodora Varvarigou, Konstantinos Nestorakis & Vrettos Moulos
Published in: https://link.springer.com/bookseries/6102, Issue 652, 2022, ISBN 978-3-031-08341-9
Publisher: Springer, Cham
DOI: 10.1007/978-3-031-08341-9_10

Explaining Online Reinforcement Learning Decisions of Self-Adaptive Systems (opens in new window)

Author(s): Felix Feit, Andreas Metzger, Klaus Pohl
Published in: IEEE International Conference on Autonomic Computing and Self-Organizing Systems, {ACSOS} 2022, Virtual, CA, USA, September 19-23, 2022, 2022
Publisher: IEEE
DOI: 10.1109/acsos55765.2022.00023

Cost Fairness for Blockchain-Based Two-Party Exchange Protocols (opens in new window)

Author(s): Matthias Lohr, Benjamin Schlosser, Jan Jurjens, Steffen Staab
Published in: 2020 IEEE International Conference on Blockchain (Blockchain), Issue 3rd IEEE International Conference on Blockchain, 2020, Page(s) 428-435, ISBN 978-0-7381-0495-9
Publisher: IEEE
DOI: 10.1109/blockchain50366.2020.00062

A Novel Approach for Calculating Real-Time Composite Indicators Relying on Internet of Things and Industrial Data Spaces (opens in new window)

Author(s): Andreu Belsa, Rafael Vaño, Ignacio Lacalle, Matilde Julián, Fernando Boronat & Carlos E. Palau
Published in: Intelligent Distributed Computing XIV. IDC 2021. Studies in Computational Intelligence, Issue 1026, 2022, ISBN 978-3-030-96627-0
Publisher: Springer, Cham
DOI: 10.1007/978-3-030-96627-0_5

AI: Opportunities and Challenges - The Optimal Exploitation of (Telecom) Corporate Data (opens in new window)

Author(s): Palaiogeorgou, P., Gizelis, C.A., Misargopoulos, A., Nikolopoulos-Gkamatsis, F., Kefalogiannis, M., Christonasis, A.M.
Published in: AI and Analytics for an Ethical and Inclusive Digitized Society. I3E 2021. Lecture Notes in Computer Science, Issue 12896, 2021, ISBN 978-3-030-85447-8
Publisher: Springer, Cham
DOI: 10.1007/978-3-030-85447-8_5

Framework and Methodology for Establishing Port-City Policies Based on Real-Time Composite Indicators and IoT: A Practical Use-Case (opens in new window)

Author(s): Ignacio Lacalle, Andreu Belsa, Rafael Vaño, Carlos E. Palau
Published in: Sensors, Issue 20/15, 2020, Page(s) 4131, ISSN 1424-8220
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s20154131

Ontology-driven evolution of software security (opens in new window)

Author(s): Sven Peldszus, Jens Bürger, Timo Kehrer, Jan Jürjens
Published in: Data & Knowledge Engineering, Issue 134, 2021, Page(s) 101907, ISSN 0169-023X
Publisher: Elsevier BV
DOI: 10.1016/j.datak.2021.101907

A Scalable and Semantic Data as a Service Marketplace for Enhancing Cloud-Based Applications (opens in new window)

Author(s): Evangelos Psomakelis, Anastasios Nikolakopoulos, Achilleas Marinakis, Alexandros Psychas, Vrettos Moulos, Theodora Varvarigou, Andreas Christou
Published in: Future Internet, Issue 12/5, 2020, Page(s) 77, ISSN 1999-5903
Publisher: mDPI
DOI: 10.3390/fi12050077

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