中文摘要：

[目的/意义]目前对知识元语义集成过程中知识元的有效关联以及知识元的重复问题缺乏深入研究。文章提出了一种基于模糊Petri网的知识元语义集成方法,以提高知识元的有效关联,解决知识元的重复问题。[方法/过程]引入模糊Petri网探讨知识元语义集成的设计方法,以饮食与疾病领域挖掘的知识元为例,用模糊Petri网与统计的模糊式规则转换对两个领域的知识元语义关系建模,构建领域知识元本体。最后在Eclipse和JDK1.8（Java SE）实验开发环境下,选用Jean推理机实现基于规则的推理,发现新知识,以此实现知识元语义集成。[结果/结论]实验结果显示,该方法达到了预期的效果。

英文摘要：

[ Purpose/significance ] At present, due to the lack of thorough research for the effective association and repetition of knowledge elements, this paper proposes a knowledge elements semantic integration method based on fuzzy Petri nets. [ Method/ process ] By introducing the fuzzy Pctri nets, the paper first discusses the designing method of knowledge element semantic integration. Then, taking the knowledge elements of diet and disease as an example, the paper builds the domain knowledge element ontology by modeling the semantic relations of the two fields through fuzzy Petri nets and the statistics of fuzzy rule transformation. Finally in the Eclipse and JDK1.8 （Java SE） experimental development environment, the paper chooses Jean reasoning machine to realize the inference based on rules in order to find new knowledge and to further achieve the knowledge element integration. [ Result/conclusion ] Experimental results show that the proposed method achieves the expected results.