Markov logic networks (MLNs) is a statistical relational learning (SRL) model, which combines Markov network and first order logic. It has been applied widely in nature language processing, complex networks, information extraction, etc. This paper addresses the theoretical model of Markov logic networks (MLNs), weight and structure learning of MLNs comprehensively, and finally presents future works of MLNs.