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International Conference on Multimedia Communications, Services and Security

MCSS 2013: Multimedia Communications, Services and Security pp 1–12Cite as

Rule-Based Knowledge Management in Social Threat Monitor

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 368))

Abstract

Social Threat Monitor (STM) is a Web system incorporating a relational database and GIS component for enregistration of user provided data on threats. In contrast to typical Crime Mapping Systems — where only authorized services, such as Police, are allowed and responsible for selective threat reporting — in case of STM all registered citizens can input threat data of interest. Registered data can be spatially visualized allowing easy browsing of reports. Wide, distributed and unlimited access makes this kind of service a new quality on the way to threat monitoring and safety improvement. However, due to a huge volumes of complex, multi-aspect data, automated knowledge management appears indispensable. In this paper a Rule-Based System for report processing and knowledge management is proposed. A new taxonomy of rules for complex knowledge management tasks is put forward. The rules are used to assess report admissibility, access restriction, perform basic processing and threat inference. Special ECA-type rules provide immediate reaction to dangerous situations and run statistical analysis of gathered data. The rules are written in Prolog.

The research presented in this paper is carried out within the EU FP7 INDECT Project: ”Intelligent information system supporting observation, searching and detection for security of citizens in urban environment” ( http://indect-project.eu )

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Author information

Authors and Affiliations

  1. AGH University of Science and Technology, al. Mickiewicza 30, 30-059, Krakow, Poland

    Mateusz Baran & Antoni Ligęza

Authors
  1. Mateusz Baran
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  2. Antoni Ligęza
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Editor information

Editors and Affiliations

  1. Department of Telecommunications, AGH University of Science and Technology, al. Mickiewicza 30, 30-059, Krakow, Poland

    Andrzej Dziech

  2. Multimedia Systems Department, Gdansk University of Technology, Narutowicza 11/12, Gdansk, Poland

    Andrzej Czyżewski

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Baran, M., Ligęza, A. (2013). Rule-Based Knowledge Management in Social Threat Monitor. In: Dziech, A., Czyżewski, A. (eds) Multimedia Communications, Services and Security. MCSS 2013. Communications in Computer and Information Science, vol 368. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38559-9_1

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  • DOI: https://doi.org/10.1007/978-3-642-38559-9_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38558-2

  • Online ISBN: 978-3-642-38559-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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