Hier finden Sie wissenschaftliche Publikationen aus den Fraunhofer-Instituten.

Multidimensional report analysis in urban incident management

: Fotouhi Tehrani, Pouyan; Pfennigschmidt, Stefan; Kriegel, Ulrich; Billig, Andreas; Fuchs-Kittowski, Frank; Meissen, Ulrich

Postprint urn:nbn:de:0011-n-4845151 (3.3 MByte PDF)
MD5 Fingerprint: 54703573be0f457ccb500922e07d0edd
© IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Erstellt am: 22.2.2018

Institute of Electrical and Electronics Engineers -IEEE-:
4th International Conference on Information and Communication Technologies for Disaster Management, ICT-DM 2017. Proceedings : University of Münster, Germany, December 11 to December 13, 2017
Piscataway, NJ: IEEE, 2017
ISBN: 978-1-5386-2553-8
ISBN: 978-1-5386-2554-5
7 S.
International Conference on Information and Communication Technologies for Disaster Management (ICT-DM) <4, 2017, Münster>
European Commission EC
H2020; 653747; City.Risks
Konferenzbeitrag, Elektronische Publikation
Fraunhofer FOKUS ()

In urban incidents and crises, accurate and timely information can be crucial to manage critical situations. The exponential growth of crowd sourced data has given means to access vast amounts of information on a real-time basis. However, this has complicated the task of analyzing ongoing events as the effort needed to filter relevant from irrelevant information has exponentially grown. This paper proposes a multidimensional analysis method of processing high influx of crowd sourced incident reports and creating processable pieces of information by filtering what's irrelevant and clustering what belongs together in a highly efficient way. Spatial, temporal, and semantic dimensions of an incident report constitute a basis which is taken advantage of in this work to ease the tasks which are undertaken manually in operation centers and alike.