Knowledge Discovery and Integration: A Case Study of Housing Planning Support System

Different information related to knowledge should be collected and filtered by system in order to discover and integrate knowledge in multiple knowledge representation environment. Especially, various information exist in multiple forms and in separate spaces, such as geographic information, housing statistics, and policy statements, in housing planning doamin. Housing policy support system is needed to make a proper spatial decision for supply housing when housing demand is occured. Thus, this paper proposes a conceptual design of system for knowledge discovery and integration in housing planning support. This system uses GIS based Housing Demand and Supply Mapping Model (HDSMM) to support policy decision using housing statistics and geographic information and to be composed of multi-dimension analysis, policy monitoring functionalities.