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Auflistung nach Autor:in "Brauer, Torsten"

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  • Konferenzbeitrag
    A Sensor and Semantic Data Warehouse for Integrated Water Resource Management
    (Proceedings of the 28th Conference on Environmental Informatics - Informatics for Environmental Protection, Sustainable Development and Risk Management, 2014) Abecker, Andreas; Brauer, Torsten; Magoutas, Babis; Mentzas, Gregoris; Papageorgiou, Nikos; Quenzer, Michael
    The goal of the EU-FP7 project WatERP is to achieve more interoperability of software systems along the water-supply chain. A central element to achieve that is the WatERP Water Data Warehouse which shall act as a central data-exchange platform between different software systems. The WDW shall be able to store and provide sensor, measurement and forecasting data, as well as semantic knowledge about the water-supply chain. It shall be as standards-compliant as reasonable and shall offer query and reasoning facilities over sensor data, spatial information and ontological knowledge. In this paper, we show the basic architecture of the WDW and shortly discuss its main design decisions.
  • Konferenzbeitrag
    Überlegungen zu einer Spatial Big Data Architektur im BigGIS Projekt
    (Umweltinformationssysteme 2016 - Umweltbeobachtung: Nah und Fern, 2016) Abecker, Andreas; Brauer, Torsten; Kutterer, Johannes; Schnitter, Karsten; Nimis, Jens; Wiener, Patrick
    In the recent years, a number of data-management and data-analytics applications and technologies under the label “big data” has found much interest among academics and practitioners. From our point of view, the respective researchers and commercial pro-viders, up to now, neglected to a large extent both the spatial dimension of potential big-data applications and their usage potential in the area of environment protection and environment management. Hence, the RTD project BigGIS investigates methods and tools for “Spatial Big Data” in three environment-related application scenarios. In this paper, some basic definitions and considerations are explained, the three applica-tion scenarios of BigGIS are presented and some initial insights regarding software architectures for Spatial Big Data solutions in the area of geo data and environmental applications are presented.