Machine understandable information representation of geographic related data to the administrative structure of Bangladesh

The heterogeneous data on the web related to the geographic information of a country is an increasingly important field of data sharing and integrating with diverse sources for retrieving suitable information using search engines. These heterogeneous geographic data is mostly available in unstructured or semi-structured format. Converting and integrating these data into a machine understandable representation is a challenging task and is getting researchers´ attention at a rapid pace. In this regard, we described geographic data for administrative structure of Bangladesh which integrated all resources and instances by comprising of their concepts and relations, coined a repository name Geo-Bangladesh by rich semantic Resource Description Framework (RDF). Then we utilized our Geo-Bangladesh with one more knowledge repository Bangladeshi-Citizen to achieve the semantic interoperability in our application. Furthermore, we performed SPARQL query operations on our proposed semantic knowledge repository to retrieve and inference specific information that shows its usability and effectiveness through the adequate quantitative results, both in term of concepts and geographical entities of the administrative structure of Bangladesh.