  For some decision processes a significant added value is achieved when
enterprises' internal Data Warehouse (DW) can be integrated and combined with
external data gained from web sites of competitors and other relevant Web
sources. In this paper we discuss the agent-based integration approach using
ontologies (DSS-MAS). In this approach data from internal DW and external
sources are scanned by coordinated group of agents, while semantically
integrated and relevant data is reported to business users according to
business rules. After data from internal DW, Web sources and business rules are
acquired, agents using these data and rules can infer new knowledge and
therefore facilitate decision making process. Knowledge represented in
enterprises' ontologies is acquired from business users without extensive
technical knowledge using user friendly user interface based on constraints and
predefined templates. The approach presented in the paper was verified using
the case study from the domain of mobile communications with the emphasis on
supply and demand of mobile phones.
