@article{WiegmannKerstenSenaratneetal.,
  author    = {Wiegmann, Matti and Kersten, Jens and Senaratne, Hansi and Potthast, Martin and Klan, Friederike and Stein, Benno},
  title     = {Opportunities and risks of disaster data from social media: a systematic review of incident information},
  series = {Natural Hazards and Earth System Sciences},
  volume    = {2021},
  journal   = {Natural Hazards and Earth System Sciences},
  number    = {Volume 21, Issue 5},
  publisher = {European Geophysical Society},
  address   = {Katlenburg-Lindau},
  doi       = {10.5194/nhess-21-1431-2021},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20210804-44634},
  pages     = {1431 -- 1444},
  abstract  = {Compiling and disseminating information about incidents and disasters are key to disaster management and relief. But due to inherent limitations of the acquisition process, the required information is often incomplete or missing altogether. To fill these gaps, citizen observations spread through social media are widely considered to be a promising source of relevant information, and many studies propose new methods to tap this resource. Yet, the overarching question of whether and under which circumstances social media can supply relevant information (both qualitatively and quantitatively) still remains unanswered. To shed some light on this question, we review 37 disaster and incident databases covering 27 incident types, compile a unified overview of the contained data and their collection processes, and identify the missing or incomplete information. The resulting data collection reveals six major use cases for social media analysis in incident data collection: (1) impact assessment and verification of model predictions, (2) narrative generation, (3) recruiting citizen volunteers, (4) supporting weakly institutionalized areas, (5) narrowing surveillance areas, and (6) reporting triggers for periodical surveillance. Furthermore, we discuss the benefits and shortcomings of using social media data for closing information gaps related to incidents and disasters.},
  subject      = {Katastrophe},
  language  = {en}
}
@article{AzizAnumbaMiles2004,
  author    = {Aziz, Zeeshan and Anumba, Chimay and Miles, John},
  title     = {Towards a Semantic Grid Computing Platform for Disaster Management in Built Environment},
  doi       = {10.25643/bauhaus-universitaet.208},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20111215-2084},
  year      = {2004},
  abstract  = {Current disaster management procedures rely primarily on heuristics which result in their strategies being very cautious and sub-optimum in terms of saving life, minimising damage and returning the building to its normal function. Also effective disaster management demands decentralized, dynamic, flexible, short term and across domain resource sharing, which is not well supported by existing distributing computing infrastructres. The paper proposes a conceptual framework for emergency management in the built environment, using Semantic Grid as an integrating platform for different technologies. The framework supports a distributed network of specialists in built environment, including structural engineers, building technologists, decision analysts etc. It brings together the necessary technology threads, including the Semantic Web (to provide a framework for shared definitions of terms, resources and relationships), Web Services (to provide dynamic discovery and integration) and Grid Computing (for enhanced computational power, high speed access, collaboration and security control) to support rapid formation of virtual teams for disaster management. The proposed framework also make an extensive use of modelling and simulation (both numerical and using visualisations), data mining (to find resources in legacy data sets) and visualisation. It also include a variety of hardware instruments with access to real time data. Furthermore the whole framework is centred on collaborative working by the virtual team. Although focus of this paper is on disaster management, many aspects of the discussed Grid and Visualisation technologies will be useful for any other forms of collaboration. Conclusions are drawn about the possible future impact on the built environment.},
  subject      = {Mehragentensystem},
  language  = {en}
}