Uzbekistan Archeology: Future of Digital Technologies Applications Prof. Fatima T. Adilova Institute of Cybernetics, Center of Advanced Information Technology, Academy of Sciences, Tashkent, Uzbekistan Prof. Timur Sh. Shirinov Director of Institute of Archaeology, Academy of Sciences, Samarkand, Uzbekistan

ICT environment in Uzbekistan Strengths, Weaknesses, Opportunities, Threats (E-readiness Review,UN,2001) Strengths The dominant theme among these capabilities is the depth of human resources available to be committed to ensure success: -Vision and political will to support ICT -Highly educated workforce -High literacy rate -Skilled technicians trained according to international commercial standards -Resourceful software programmers -Reasonable international telecommunications capacity

Total E-Readiness Indicator for Uzbekistan

Weaknesses -High cost and availability of telecommunications bandwidth -Limited competition for basic network services -Insufficient domestic data network capability -Confusing Internet and ISP policy -Low PC penetration and low purchasing power for acquisition of advanced ICT –technologies -Low adoption and usage of ICT in government -Absence of electronic payment systems for e- commerce, including bank cards -Negligible ICT manufacturing capability

Availability of information technologies

The distribution of Internet subscribers throughout the country

Number of mobile communication subscribers

Opportunities - Software development -Software integration services -Database integration -Other services-based businesses to be defined

Threats  Irregular development of the Internet access infrastructure by regions, lack of telecommunication networks in 32.7% of rural areas;  Absence of public Internet access centres in most rayon administrative centres of Uzbekistan and practically in all rural areas. Unjustified inclusion of these centres into the category of Internet providers and licensing of their activity  High prices on Internet access, international communication and cellular communication services  Insufficient utilization of the existing digital transport networks capacity.

Afrosiab

KNOWLEDGE ACQUISITION SYSTEM  Automatic generation and selection of metrics for data clustering  Automatic generation of hypotheses  Development of laws, based on three models of classification and statistical modelling

SOFTWARE STRUCTURE AND FUNCTIONS

Samarkand