NDLI: Semantic tagging of heterogeneous data: Labeling Fire&Rescue incidents with threats

Content Provider	IEEE Xplore Digital Library
Author	Krasuski, A. Janusz, A.
Copyright Year	2013
Description	Author affiliation: Inst. of Math., Univ. of Warsaw, Warsaw, Poland (Janusz, A.) \|\| Comput. Sci., Main Sch. of Fire Service, Warsaw, Poland (Krasuski, A.)
Abstract	In the article we present a comparison of the classification algorithms focused on labeling Fire&Rescue incidents with threats appearing at the emergency scene. Each of the incidents is reported in a database and characterized by a set of quantitative attributes and by natural language descriptions of the cause, the scene and the course of actions undergone by firefighters. The training set for our experiments was manually labeled by the Fire Service commanders after deeper analysis of the emergency description. We also introduce a modified version of Explicit Semantic Analysis method and demonstrate how it can be employed for automatic labeling of the incident reports. The task we are trying to accomplish belongs to the multi-label classification problems. Its practical purpose is to support the commanders at a emergency scene and improve the analytics on the data collected by Polish State Fire Service.
Starting Page	77
Ending Page	82
File Size	159745
Page Count	6
File Format	PDF
ISBN	9788360810521
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-09-08
Publisher Place	Poland
Access Restriction	Subscribed
Rights Holder	Polish Information Processing Society
Subject Keyword	Training Databases Semantics Fires Fire Services Explicit Semantic Analysis Time division multiplexing Vectors Domain Knowledge Labeling Multi-label Classification
Content Type	Text
Resource Type	Article

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