A semantic knowledgebase representation of geospatial data in the context of Bangladesh

There are a large amount of geospatial data available. A number of methods are also proposed for processing and retrieving geospatial information. However, end users ability to retrieve and link geospatial data is limited. Semantic knowledgebase of geospatial data provides information about places in the world and spatial relations between them. In this paper, we use semantic knowledgebase of geospatial data for retrieving user´s information efficiently in the context of Bangladesh. In our experiment, we mainly collect a lot of geospatial data from Bangladesh government website http://www.bangladesh.gov.bd and other sources. We exploit our geospatial data in a structured way by XML parsing on java platform. Our proposed method generates N-triples from the data of XML parsing. We use Protégé environment to build ontology. Ontology contained information about hierarchical data of Bangladesh. This approach helps us to represent semantic knowledgebase of geospatial data about Bangladesh more efficiently. Experimental result shows the effectiveness of our semantic knowledgebase structure. In addition, our experiment shows the efficiency of our system by retrieving information exactly from our ontology in a structured way.