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Auflistung nach Autor:in "Benabbas, Aboubakr"

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  • Zeitschriftenartikel
    Challenges and Design Goals for an Architecture of a Privacy-preserving Smart City Lab
    (Datenbank-Spektrum: Vol. 16, No. 2, 2016) Steuer, Simon; Benabbas, Aboubakr; Kasrin, Nasr; Nicklas, Daniela
    In the domain of so-called smart cities, ICT technologies play a vital role to improve life quality and resource efficiency in future cities. Many smart city applications depend on sensor data – live data for real-time reaction or stored data for analysis and optimization – to measure city-wide processes like mobility, energy consumption and energy production, or environmental factors like city climate or air quality. To realize such future smart city applications, we face many challenges, including data integration from heterogeneous sensor systems, poor or unknown sensor data quality, effective and efficient management of big sensor data volumes, as well as support the development of mobile and/or analytical applications that use that data. The Bamberg Smart City Lab will provide an Open Data testbed for research and evaluation of sensor-based applications in smart cities. In this paper, we focus particularly on the challenge of privacy: how can we set up long-running city-wide sensor campaigns and share the data without compromising the citizen’s privacy? A fundamental aspect in our current approach is to understand and incorporate the Privacy by Design (PbD) guidelines. We apply them to our specific requirements and develop a privacy-preserving architecture. To do this we evaluate and incorporate the integration of different state-of-the art privacy methods to reduce the risk of leaks to a minimum, especially in the field of online publication of data sets.
  • Zeitschriftenartikel
    Living Lab Bamberg: an infrastructure to explore smart city research challenges in the wild
    (KI - Künstliche Intelligenz: Vol. 31, No. 3, 2017) Benabbas, Aboubakr; Elmamooz, Golnaz; Lagesse, Brent; Nicklas, Daniela; Schmid, Ute
    The growing number of smart technologies for ubiquitous sensing and interaction of computer systems and the physical environment offer many opportunities for more efficient usage of energy and other resources and to improve the quality of life among communities. There are numerous problems that must be solved first. Research areas such as security, privacy, data quality, and data modeling must be addressed. In order to move forward to a better world, we have established the living lab Bamberg where we will address these research problems and provide open data and interfaces to other researchers to enable collaboration and extensive testing of smart city research and applications. As we continue to use the living lab Bamberg to improve state of the art research in smart cities, we believe we will see smart city technology adopted more commonly and drastically improve the lives of people living in those cities.
  • Zeitschriftenartikel
    One DB Does Not Fit It All: Teaching the Differences in Advanced Database Systems
    (Datenbank-Spektrum: Vol. 21, No. 2, 2021) Wiese, Lena; Benabbas, Aboubakr; Elmamooz, Golnaz; Nicklas, Daniela
    In this article we report on our experience with teaching differences that exist between relational and non-relational data models. We present results of an evaluation of a practical course in which students are assigned 15 queries within 6 tasks that they execute on four different database systems. The pedagogical aim of this course was to show conceptual differences between data models, difficulties that can occur when trying to formulate queries in different query languages, as well as specific system behavior. We evaluate the practical course based on a questionnaire that recorded the students’ performance on each task for each DB system.