The prediction of terrorist threat on the basis of semantic association acquisition and complex network evolution

• Autorzy: Najgebauer A. , Antkiewicz R. , Chmielewski M. , Kasprzak R.
• Języki publikacji: EN

Abstrakty

EN

In this paper, which is the continuation of an MCC 2006 Conf. publication by the same group of authors, we propose a concept of early detection of terrorist action preparation activities. Our ideas rely on semantic and complex networks to extract useful information for terrorist threat indication. Presented methods will be used as a core framework for Early Warning System.

Słowa kluczowe

EN

early warning system; semantic network; ontology; complex network

• Wydawca: Instytut Łączności - Państwowy Instytut Badawczy
• Czasopismo: Journal of Telecommunications and Information Technology
• Rocznik: 2008
• Tom: nr 2
• Strony: 14--20
• Opis fizyczny: Bibliogr. 19 poz., rys.

Twórcy

autor

Najgebauer A.

autor

Antkiewicz R.

autor

Chmielewski M.

autor

Kasprzak R.

• Faculty of Cybernetics, Military University of Technology, Gen. S. Kaliskiego st 2, 00-908 Warsaw, Poland,

Bibliografia

• [1] A. Najgebauer, “A concept of simulation based diagnostic support tool for terrorism threat awerness”, in Model. Simul. Addr. NATO’s New Exist. Milit. Req. Conf., Koblenz, Germany, 2004.
• [2] D. J. Watts and S. H. Strogatz, “Collective dynamics of “smallworld” networks”, Nature, vol. 393, pp. 440–442, 1998.
• [3] B. A. László and A. Réka, “Emergency of scaling in random networks”, Science, vol. 286, pp. 509–512, 1999.
• [4] S. H. Strogatz, “Exploring complex networks”, Nature, vol. 410, pp. 268–276, 2001.
• [5] B. A. László and A. Réka, “Statistical mechanics of complex networks”, Rev. Mod. Phys., vol. 74, pp. 47–97, 2002.
• [6] M. E. J. Newman, “Models of the small world: a review”, J. Stat. Phys., vol. 101, pp. 819–841, 2000.
• [7] M. E. J. Newman, “The structure and function of complex networks”, SIMA Rev., vol. 45, no. 2, pp. 167–256, 2003.
• [8] W. Xiaofan and C. Guanrong, “Complex networks: small-world, scale-free and beyond”, IEEE Circ. Syst. Mag., vol. 3, no. 1, pp. 6–20, 2003.
• [9] V. Krebs, “Mapping networks of terrorist cells”, Connections, vol. 24, no. 3, pp. 43–52, 2002.
• [10] J. Golbeck, A. Mannes, and J. Hendler, “Semantic Web Technologies for Terrorist Network Analysis”. IEEE Press, 2006.
• [11] M. Barthelemy, E. Chow, and T. Eliassi-Rad, “Knowledge representation issues in semantic graphs for relationship detection”, UCRL-CONF-209845, http://www.edmondchow.com/pubs/
• [12] A. Mannes and J. Golbeck, “Building a terrorism ontology”, University of Maryland, College Park, 2005.
• [13] M. Steyvers and J. B. Tenenbaum, “The large-scale structure of semantic networks: statistical analyses and a model of semantic growth”, Cogn. Sci., vol. 29, pp. 41–78, 2005.
• [14] E. Suzikov and D. Soshinikov, “Using dynamic ontologies based on production-frame knowledge representation for intelligent web retrieval”, in Worksh. Comput. Sci. Inform. Technol., Patras, Greece, 2002.
• [15] J. F. Sowa, “Semantic networks”, http://www.jfsowa.com/pubs/semnet.htm
• [16] JENA web semantic framework, http://jena.sourceforge.net/
• [17] Resource definition framework homepage, http://www.w3.org/RDF/
• [18] “Generic Early Warning Handbook”, NATO/EAPC/PFP, 2001.
• [19] A. Najgebauer, R. Antkiewicz, M. Chmielewski, and R. Kasprzyk, “Terrorist threat identification using semantic associations and complex networks”, in Proc. MCC 2006 Conf., Gdynia, Poland, 2006.