Patent Technology Landscapes are the high-level visualization of large set of patent dataset specific to a particular technology. It provides over view of the various technological segments within the dataset and is very useful for the decision makers. These map further breaks into more specific detailed technological segments to visualize the technology co-relation, technology diversification and various technology trends. Mining of the huge dataset for specific technological detail is a laborious process. Presently various vendors such as Aureka from MicroPat provides automated generation of patent landscape maps for large datasets. The basis for the generation of these maps is the keyword frequency. Thus these maps require human intelligence to further refine it.