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Rule execution is the core step of rule-based semantic web reasoning. However, most existing approaches are centralized, which cannot scale out to reason big semantic web datasets. In this paper, we described a kind of semantic web rule execution mechanism using MapReduce programming model, which not only can handle RDFS and OWL ter Horst semantic rules, but also can be used in SWRL reasoning. Theoretical analysis is present on the scalability of this rule execution mechanism. Result shows that it can scale well as Mapreduce framework.