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In the last few year's social networks, e-commerce, mobile commerce, and sensor networks have resulted into an exponential increase in data size. This data comes in all formats i.e. structured, un-structured and semi-structured. To efficiently extract useful information from these huge data sources is important. This information can play a central role in making future decisions and strategies. A truck geo-location big-data application integrated with formal model is proposed. The truckdoi:10.14569/ijacsa.2017.080447 fatcat:5mu7iwnfwvgbxk6vc5sxzem6wq