[目的/意义] 随着文化遗产数字化和人文计算研究范式的兴起，人文领域学者在参与数字人文研究过程中对于文化遗产数据资源的利用需求日益突显。多源、异构文化遗产信息资源的语义融合与互操作成为当前数字人文数据基础设施建设中的关键问题，而行之有效的实体语义相似度计算方法则成为实现这一目标的重要手段。[方法/过程] 以敦煌壁画叙词表关联数据为例，在分析该数据集本体模型与数据框架的基础上，针对其内容分布与结构特征提出一种多粒度匹配与加权运算相结合的实体语义相似度计算方法，并选取敦煌壁画叙词表关联数据中"飞天"相关实体为实验对象，引入属性特征、编辑距离等多种现有实体语义相似度计算方法进行对比实验。[结果/结论] 实验结果表明，本文提出的基于多粒度匹配的实体语义相似度计算方法，能够更好地适应敦煌壁画叙词表关联数据的内容与结构特征，在计算结果准确性方面比同类方法具有更好的表现，是推动数字人文背景下异构人文信息资源的数据互联与知识共享的又一可行思路。
[Purpose/significance] With the developing of cultural heritage digitization and humanities computing paradigm, the demand of cultural heritage data resources from scholars in the field of humanities have increasingly highlighted when participating in digital humanities research. The semantic integration and interoperability of multi-source and heterogeneous cultural heritage information resources has become a key issue in the construction of digital humanities data infrastructure nowadays, and the effective method of entity semantic similarity calculation has became an important means to achieve this goal.[Method/process] Based on the analysis of the ontology model and data framework of Dunhuang Mural Thesaurus Linked Data, this paper proposed an entity semantic similarity calculation method based on the integration of multi granularity matching and weighted calculate, and selected "Feitian" related entities in the dataset as the experimental object to compare the effects of the method proposed in this paper with current methods base on attribute characteristic or edit distance in semantic similarity calculation.[Result/conclusion] The experimental results show that, compareing with the other methods, the entity semantic similarity calculation method based on multi-granularity matching can better adapt to the content and structural characteristics of Dunhuang Mural Thesaurus Linked Data, and has better performance in the accuracy of calculation. Thus this paper has introduced another feasible idea for promoting the data interconnection and knowledge sharing of heterogeneous human information resources under the background of digital humanities.
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