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The Agricultural Census information is a leading source of facts and figures about a country’s agricultural development. Such information is used by many who provide services to farmers and rural communities including federal, state and local governments, agribusinesses etc. Also such information when integrated with other agricultural surveys and statistics can help in monitoring progress towards the achievement of Millennium Development Goals (MDGs) of a country. But such huge volumes of census data are available at various geo-spatial portals either in proprietary formats like shape files, .dat files etc or in form of database tables, word documents, PDF’s etc. In order to do analysis or to just see the progress of a particular area such huge datasheets have to be scanned. This paper provides solutions to various problems related to Geo-spatial Agricultural Census data in three aspects: (1) Storage / Organization of census data using enhanced methods such as ontologies. (2) Visualization of data using Google Maps and Column Charts. (3) Analysis of data using interactive methods like Column Charts.

Design and Implementation of Ontology Based on Semantic Analysis for GIS Application