LiDDM: A Data Mining System for Linked Data

In today’s scenario, the quantity of linked data is growing rapidly. The data includes ontologies, governmental data, statistics and so on. With more and more sources publishing the data, the amount of linked data is becoming enormous. The task of obtaining the data from various sources, integrating and fine-tuning the data for desired statistical analysis assumes prominence. So there is need of a good model with ecient UI design to perform the Linked Data Mining. We proposed a model that helps to eectively interact with linked data present in the web in structured format, retrieve and integrate data from dierent sources, shape and fine-tune the so formed data for statistical analysis, perform data mining and also visualize the results at the end.