Semantic technology for development of intelligent systems oriented to experts in subject domain

The semantic models and technologies for building intelligent systems oriented on experts in a subject domain are considered in the paper. The integrated model combining various mutually complementary methods and means of knowledge representation and processing of such models as ontological, network, production, subdefinite and imperative is developed and suggested as basis for knowledge representation in intelligent systems. Suite of language and programming tools built on the basis of this model can be used for development of wide array of such kind of systems. In order to make these tools accessible to use immediately by experts, the technology for development of intelligent systems is suggested. This technology is based on specialized program shells, which are adjusted to certain knowledge area and class of tasks. These shells are built by knowledge engineers who perform a partial filling of knowledge bases of corresponding universal shells using the knowledge base of development tools of these shells.