Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Priebe, Torsten"'
Publikováno v:
Proceedings of the 2nd Italian Conference on Big Data and Data Science (ITADATA 2023), 2023
The concept of dataspaces aims to facilitate secure and sovereign data exchange among multiple stakeholders. Technical implementations known as "connectors" support the definition of usage control policies and the verifiable enforcement of such polic
Externí odkaz:
http://arxiv.org/abs/2309.11282
Autor:
Pereira, Gabriela Viale, Klausner, Lukas Daniel, Temple, Lucy, Delissen, Thomas, Lampoltshammer, Thomas, Priebe, Torsten
Publikováno v:
Joint Proceedings of Ongoing Research, Practitioners, Posters, Workshops, and Projects at EGOV-CeDEM-ePart 2023 (EGOV 2023), 2023
One of the major challenges today lies in the creation of governance concepts for regional development that not only promote growth but, at the same time, ensure promotion of inclusiveness, fairness, and resilience. Digital twins can support policyma
Externí odkaz:
http://arxiv.org/abs/2308.04819
Autor:
Pereira, Gabriela Viale, Klausner, Lukas Daniel, Temple, Lucy, Delissen, Thomas, Lampoltshammer, Thomas, Priebe, Torsten
Publikováno v:
Proceedings of the 24th Annual International Conference on Digital Government Research (DGO 2023), 2023, 644-645
Smart city solutions require innovative governance approaches together with the smart use of technology, such as digital twins, by city managers and policymakers to manage the big societal challenges. The project Smart Cities aNd Digital Twins in Low
Externí odkaz:
http://arxiv.org/abs/2307.06743
Publikováno v:
BI-SPEKTRUM 4/2022
Data warehouse, data lake, data lakehouse, data mesh ... many new names for analytical data architectures are currently circulating in the scene. But are the various approaches really so different? This article attempts a structured comparison of the
Externí odkaz:
http://arxiv.org/abs/2212.03612
Publikováno v:
2021 IEEE International Conference on Big Data (IEEE BigData 2021)
This paper presents a systematic review of common analytical data architectures based on DAMA-DMBOK and ArchiMate. The paper is work in progress and provides a first view on Gartner's Logical Data Warehouse paradigm, Data Fabric and Dehghani's Data M
Externí odkaz:
http://arxiv.org/abs/2201.04233
Autor:
Eigner, Oliver, Eresheim, Sebastian, Kieseberg, Peter, Klausner, Lukas Daniel, Pirker, Martin, Priebe, Torsten, Tjoa, Simon, Marulli, Fiammetta, Mercaldo, Francesco
Publikováno v:
Proceedings of the 2021 IEEE International Conference on Cyber Security and Resilience (CSR 2021), 2021, 536-542
Artificial intelligence (AI) systems are becoming critical components of today's IT landscapes. Their resilience against attacks and other environmental influences needs to be ensured just like for other IT assets. Considering the particular nature o
Externí odkaz:
http://arxiv.org/abs/2109.08904
Akademický článek
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Autor:
Madeira, Rui Neves, Santos, Pedro Albuquerque, Java, Oskars, Priebe, Torsten, Graça, Eduardo, Sárközi, Eszter, Asprion, Bernward, Gómez, Raquel Pinto-Bello
Publikováno v:
In Procedia Computer Science 2022 210:45-52
Autor:
Giacomo, Umberto Di, Casolare, Rosangela, Eigner, Oliver, Martinelli, Fabio, Mercaldo, Francesco, Priebe, Torsten, Santone, Antonella
Publikováno v:
In Procedia Computer Science 2021 192:2440-2449
Autor:
Priebe, Torsten.
Thesis (doctoral)--Universität Regensburg, 2005.
Includes bibliographical references (p. 153-164).
Includes bibliographical references (p. 153-164).