With Web 3.0 gaining popularity, efficiently retrieving geographical information from ever growing geospatial data is an important task. We address two issues in this work.Firstly, consider the query “Find all restaurants towards the east of Singhania school within a distance of 50km”. In current systems to get the required result, first all the objects of type restaurant are extracted, then those within a required distance range are filtered and finally the approximate direction is determined by comparing co-ordinates. This processing is done at run-time i.e. dynamically when the query is executed. In this paper, we suggest a technique to avoid this computational overhead by constructing triples after pre-processing data from the existing ontologies to make implicit information explicitly available.Secondly, to address queries like “Find all schools in Mumbai”, the current systems manually construct a polygon which encloses Mumbai and then the required schools are filtered out. The task of determining a polygon which encircles the required locality is laborious if done manually and inaccurate with APIs like Google Maps. We propose an accurate technique which automatically forms the enclosing polygon for a region under consideration
