Szczegóły publikacji
Opis bibliograficzny
Rule-based knowledge management in social threat monitor / Mateusz Baran, Antoni LIGĘZA // W: Multimedia communications, services and security : 6th International conference, MCSS 2013 : Krakow, Poland, June 6–7, 2013 : proceedings / eds. Andrzej Dziech, Andrzej Czyżewski. — Berlin ; Heidelberg : Springer-Verlag, cop. 2013. — (Communications in Computer and Information Science ; ISSN 1865-0929 ; 368). — ISBN: 978-3-642-38558-2; e-ISBN: 978-3-642-38559-9. — S. 1–12. — Bibliogr. s. 11–12, Abstr.
Autorzy (2)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 75056 |
|---|---|
| Data dodania do BaDAP | 2013-08-14 |
| DOI | 10.1007/978-3-642-38559-9_1 |
| Rok publikacji | 2013 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Konferencja | Multimedia Communications, Services and Security 2013 |
| Czasopismo/seria | Communications in Computer and Information Science |
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
