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Mobile-Based Emergency Response System Using Ontology-Supported Information Extraction

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Handbook on Decision Making

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 33))

Abstract

This chapter describes an algorithm within a Mobile-based Emergency Response System (MERS) to automatically extract information from Short Message Service (SMS). The algorithm is based on an ontology concept, and a maximum entropy statistical model. Ontology has been used to improve the performance of an information extraction system. A maximum entropy statistical model with various predefined features offers a clean way to estimate the probability of certain token occurring with a certain SMS text. The algorithm has four main functions: to collect unstructured information from an SMS emergency text message; to conduct information extraction and aggregation; to calculate the similarity of SMS text messages; and to generate query and results presentation.

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Author information

Authors and Affiliations

  1. Decision Systems & e-Service Intelligence (DeSI) Lab, Centre for Quantum Computation & Intelligent Systems (QCIS), School of Software, Faculty of Engineering and Information Technology, University of Technology Sydney, P.O. Box 123, Broadway, Sydney, NSW, 2007, Australia

    Khaled Amailef & Jie Lu

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  1. Khaled Amailef
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  2. Jie Lu
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Editor information

Editors and Affiliations

  1. University of Technology, Sydney (UTS), Australia

    Jie Lu  & Guangquan Zhang  & 

  2. University of South Australia, Australia

    Lakhmi C. Jain

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Amailef, K., Lu, J. (2012). Mobile-Based Emergency Response System Using Ontology-Supported Information Extraction. In: Lu, J., Jain, L.C., Zhang, G. (eds) Handbook on Decision Making. Intelligent Systems Reference Library, vol 33. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25755-1_21

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  • DOI: https://doi.org/10.1007/978-3-642-25755-1_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25754-4

  • Online ISBN: 978-3-642-25755-1

  • eBook Packages: EngineeringEngineering (R0)

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