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Auflistung nach Autor:in "Tjoa, A Min"

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  • Konferenzbeitrag
    Multi-Actor Urban Energy Planning Support: Building refurbishment & Building-integrated Solar PV
    (Proceedings of the 28th Conference on Environmental Informatics - Informatics for Environmental Protection, Sustainable Development and Risk Management, 2014) Ouhajjou, Najd; Loibl, Wolfgang; Fenz, Stefan; Tjoa, A Min
    Considering the large amount of energy consumption in cities, two-thirds of the overall consumption, these latter have an important potential in terms of CO2 emissions reduction. Therefore, energy strategies are needed at a city level and consequently, adequate planning tools are required to support urban energy planners in assessing their decisions (e.g. which buildings are the best to refurbish). This paper presents an ontology based approach for urban energy planning support applied to building refurbishment and building-integrated solar PV planning. The adopted methodology is an iterative, incremental process, where each iteration leads to the integration of a new planning decision. The process starts by the identification of the actors whose interests are affected by the decision, then developing/ re-using computation models that provide answers for their questions. The different models are integrated using an ontology that models the parts of the city within the scope of the questions to be answered. The system is applied in a district (about 1200 buildings) in the city of Vienna. The adopted approach provides different actors with specific information to their points of view. Furthermore, the output is aggregated to a common level of abstraction, to be understood by all the actors. This approach is applicable to different cities, as the ontology also integrates extension and upgrade mechanisms that provide flexibility to cope with different data-availability contexts.
  • Konferenzbeitrag
    Towards an Environmental Information System for Semantic Stream Data
    (Proceedings of the 28th Conference on Environmental Informatics - Informatics for Environmental Protection, Sustainable Development and Risk Management, 2014) Wetz, Peter; Trinh, Tuan-Dat; Do, Ba-Lam; Anjomshoaa, Amin; Kiesling, Elmar; Tjoa, A Min
    The future of the earth’s environmental systems will to a major extent be decided in cities as already more than 50% of the population is concentrated there. Pervasively available sensors and the data they generate can help to address pressing environmental challenges in urban areas by making crucial information available to researchers and decision-makers. However, environmental data is at present typically stored in disparate systems and formats, which inhibits reuse and recombination. Furthermore, the large amounts of environmental data that stream in continuously require novel processing approaches. So far, however, research at the intersection of environmental sciences and urban data to overcome these barriers has been scarce. To address these issues, we develop a novel framework using semantic web technologies. We apply ontological concepts and semantic stream processing technologies in order to facilitate combination, comparison, and visualization of heterogeneous data from various sources. The platform for environmental data stream analysis introduced in this paper can inform and support decision-making by non-expert users. We propose and discuss a three-step framework and outline initial results.