统计关系学习模型Markov逻辑网综述

Survey of Markov Logic Networks

统计关系学习是人工智能研究的热点,在生物信息学、地理信息系统和自然语言理解等领域有着重要应用,Markov逻辑网是将Markov网与一阶逻辑相结合的一种全新的统计关系学习模型。介绍了Markov逻辑网的理论模型和学习方法,并探讨了目前存在的问题和研究方向。

Statistical Relational Learning（SRL） is a highlight in AI research field, and has important applications on many areas, such as bioinformatics, geography information systems and natural language processing, etc. Markov Logic Networks （MLNs） are a kind of SRL model combining Markov networks and the first-order logic together. In this paper, we introduced the theory and learning methods of MLNs, as well as discussed current problems and directions for future work.