Proposal - start [kondor.etf.rs]

a. At the central data mine system (DMS), using the algorithms of concepts oriented artificial
intelligence (CAI), the concepts related to business goals are extracted, and used to generate
recommendations to decision makers.
b. The extracted information is related to system optimization, but also to external
environment. A selected subset of that information, only the subset which is of general nature,
and not abusing the privacy of any participant in the system, is made available via the
Internet.
c. If the processing delay is not short enough, the DMS needs to be expanded with appropriate
HWA (hardware accelerators).
d. The system can monitor a large number of CSPs (business optimization parameters) and
EAPs (environment awareness parameters). These can be processed using a number of KEPs
(knowledge extraction procedures), and refined using a number of CEAs (concept extraction
algorithms). Once the concepts are extracted, concrete recommendations (in a ranking order)
are generated using appropriate RRGs (ranked recommendation generators).
In the above described system architecture, on the top are the patients (some of the use cases
were described before); more will be introduced, elaborated, and implemented during the
project run. The activities of the system are optimized using data from the Internet, data
bases, sensors, mobile services, etc. Some of these data are semantically enhanced using the
concepts oriented artificial intelligence (the central box), with elements of semantic web, data
mining, concept modelling, and decision making. The basic idea of the system is given in
Figure 1.
Figure 1: The basic system idea