Auflistung nach Autor:in "Elmamooz, Golnaz"
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- ZeitschriftenartikelLiving 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, UteThe 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.
- ZeitschriftenartikelOne 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, DanielaIn 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.
- KonferenzbeitragTowards Understanding Mobility in Museums(Datenbanksysteme für Business, Technologie und Web (BTW 2017) - Workshopband, 2017) Elmamooz, Golnaz; Finzel, Bettina; Nicklas, DanielaData mining techniques can provide valuable insight to understand mobility in museums. However, the results of such techniques might not be easily understood by the museum staff. In this paper, we propose a graph-based approach to model museum exhibitions, sensor locations, and guiding tasks. We further discuss how route-based trajectory mining can be adapted to work with this graph model and which challenges need to be addressed to cope with the graph dynamics and the continuous flow of sensor data. Based on the demands of two target groups, curators and visitors, three applications are proposed: a museum graph editor, a mobile museum guide, and a curator decision support. We propose an architecture for a platform that provides context information and data mining results to such applications. We claim that our proposed platform can cover many aspects and demands that arise in the museum environment today.