**5.1.3 In the Semantic Web domain**

A spatial layer in the Semantic Web stack presented through this paper is not enough to address the overall problems of non-semantic data within the framework but at least there is something to start with. The full potential of underlying knowledge techniques through the reasoning or inferring capabilities within Semantic Web has not been identified in Geospatial community. The primary focus on these technologies is to achieve data interoperability within different data sources (Cruz, 2004; Cruz et al., 2004) Even W3C concentrated its priority in proposing comprehensive geospatial ontology acceptable to all through its Geospatial Incubator Group (Lieberman et al., 2007). All these research works show that the emphasis on using geospatial ontology lie in achieving data interoperability and thus ignores the capabilities of underlying knowledge techniques for carrying out complex spatial analysis. This research presented a concept to carry out spatial analysis through inferring knowledge base spatially.

The realization of spatial integration into Semantic Web framework is demonstrated through a demonstration application. The application demonstrates that through a suitable translation engine, it is possible to infer the spatially enriched knowledge base in order to deduce spatial knowledge. The translation engine developed within the demonstration application translates the spatial built-ins and enriches the knowledge base through results of spatial operations of these built-ins making the knowledge base ready to be inferred.
