By Ryszard Tadeusiewicz (auth.), Katarzyna M. Wegrzyn-Wolska, Piotr S. Szczepaniak (eds.)
Mastering and powerful exploration of the internet atmosphere wishes new principles, edition of recognized tools in addition to software of subtle and powerful technical implementations. between new study instructions found in relation to internet functions, a striking position is occupied through clever equipment defining the subject of soppy computing. This edited publication comprises experiences from front of various fields of the internet: program of man-made intelligence, layout, details retrieval and interpretation, person profiling, defense, engineering, and so on. the cloth has been offered on the 5th Atlantic internet Intelligence convention – AWIC’2007 held in Fontainbleau (France) and arranged by way of Esigetel, Technical collage of Lodz, and varnish Academy of Sciences.
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13. A. Abecker, A. Bernadi, K. Hinkelmann, O. Kuhn, and M. Sintek, Toward a technology for organizational memories, IEEE Intelligent Systems, May/June, 40´s48, (1998). M. Allan et al. 14. G. Heijst, R. Spek, and E. Kruizinga, Corporate memories as a tool for knowledge management, Expert Systems With Applications, 13, 41´s 54, (1997). 15. D. E. O’Leary, Using AI in knowledge management: knowledge bases and ontologies, IEEE Intelligent Systems, May/June, 34´s39, (1998). 16. J. Bruijn, Using Ontologies Enabling Knowledge Sharing and Reuse on the Semantic Web, Digital Enterprise Research Institute (DERI), Technical Report DERI2003-10-29, October (2003).
B˘adic˘a, C. B˘adic˘a, and E. Popescu Fig. 1. A sample HTML document containing hierarchically structured data represented as a labeled ordered tree and extracts a set of relational tuples of document nodes. See [2, 3] for details about definition, implementation and evaluation of L-wrappers. Let us now consider a very simple HTML document that contains hierarchical data about fruits (see figure 1). A fruit has a name and a sequence of features. Additionally, a feature has a name and a value. This is captured by the schema shown in figure 2a.
In this paper, combinations of mathematical and graphical models are applied. The STRATrisk project used a soft systems methodology, steering away from traditional statistical risk analysis, and employed tools enabling cognition and concept mapping. The rationale was the capture of operational complexity and human issues. The further improvement of the STRATrisk approach is the subject of further discussion here. Insights by means of simulation are vital for risk management. 1 Fuzzy Cognitive Maps Cognitive maps were introduced in early studies around the 1950’s .