Design Patterns for a Knowledge-Driven Analytical Platform

The development and support of knowledge-based systems for experts in the field social network analysis (SNA) is complicated because problems viability maintenance that inevitably emerge data intensive domains. Largely this case due to properties semi-structured objects processes are analyzed by specialists using mining techniques others automated analytical tools. In order be viable a modern platform should able integrate heterogeneous information, present it users an understandable way tools functionality extensibility. paper we introduce ontological approach information integration propose design patterns developing core such as ontology repository management, domain-specific languages (DSLs) generation source code round-trip synchronization with DSL-models.