This paper describes the architecture and working of a recently implemented knowledge-based GIS (KBGIS-II) that was designed to satisfy several general criteria for GIS. The system has four major functions, query-answering, learning, editing and training. The main query finds constrained locations for spatial objects that are describable in a predicate-calculus based spatial object language. The main search procedures include a family of constraint-satisfaction procedures that use a spatial object knowledge base to search efficiently for complex spatial objects in large, multi-layered spatial data bases. These data bases are represented in quadtree form. The search strategy is designed to reduce the computational cost of search in the average ease. The learning capabilities of the system include the addition of new locations of complex spatial objects to the knowledge base as queries are answered, and the ability to learn inductively definitions of new spatial objects from examples. The new definitions are added to the knowledge base by the system. 7"he system is currently performing all its designated tasks successfully, although currently implemented on inadequate hardware.
|Original language||English (US)|
|Number of pages||24|
|Journal||International Journal of Geographical Information Systems|
|State||Published - Jan 1 1987|
All Science Journal Classification (ASJC) codes
- Earth and Planetary Sciences(all)