[目的/意义]对于数据的开放共享和关联数据中的关联发现,相同语义的属性识别能够帮助解决其面临的词汇异构和多源数据语义理解问题。[方法/过程]在以往单一方法的基础上,改进和提出综合属性值和上下文的开放数据相同属性识别方法,并针对政府开放数据进行了实验。[结果/结论]结果表明,该方法能提高单一方法识别的准确率,具有可行性。 [Purpose / Significance] For the purpose of open sharing of data and association in relational data, attribute recognition of the same semantic can help solve the problem of lexical heterogeneity and multi-source data semantic understanding. [Method / Process] Based on the previous single method, the same attribute identification method of open data with integrated attribute value and context is improved and put forward. Experiments on the open data of government are also made. [Results / Conclusions] The results show that this method can improve the accuracy of single method identification and is feasible.