Mediator Based Architecture to Address Spatial Data Heterogeneity

The heterogeneous data on the web is an increasingly important field of data sharing and integrating with diverse sources for retrieving suitable information using search engines. These heterogeneous data sources from distributed systems are easily interpretable to humans, but hardly understandable to machines. In this regard, the main focus of this research is to address the issues of spatial data heterogeneity where data are located in various distributed systems in different formats. Then we describe these geo-data in a machine understandable format using rich semantic Resource Description Framework (RDF) which allows a single point of access to retrieve appropriate information from the web of data. Moreover, we performed a number of experiments to retrieve specific information from Water and Sewerage Authority (WASA) and Power Development Board's (PDB) data-sets of Bangladesh by using semantic search engine, known as SPARQL to address the interoperability issues in an efficient way which represents the effectiveness of our system. Therefore, this paper also concentrates the investigation of the design and implementation of a mediator kit, Integration Mediation Kit (IMK) which integrates and merges data from diverse sources.