The paper concludes our ideas on new concepts of indirect association analysis to extract useful information for terrorist threat indication. The method introduces an original approach to knowledge representation as a semantic model, which is further processed by the inference algorithms and structure graph analysis towards a complex network. Described models consist of experience gathered from intelligence experts and several open Internet knowledge systems such as the Global Terrorism Database [15]. We have managed to extract core information from several ontologies and fuse them into one domain model aimed at providing basis for indirect associations identification method. © 2010 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Tarapata, Z., Chmielewski, M., & Kasprzyk, R. (2010). An algorithmic approach to social knowledge processing and reasoning based on graph representation - A case study. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5991 LNAI, pp. 93–104). https://doi.org/10.1007/978-3-642-12101-2_11
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