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[目的 /意义]叙事型文化遗产具有丰富的隐含知识与语义信息,仅采用图像、文字等数字化形式难以描述故事元素间复杂的关联与模糊语义,因此探究叙事型文化遗产的有效组织与表示具有重大研究意义。[方法/过程]围绕叙事型文化遗产,利用语义数据模型提出基于角色关联的知识表示方式,构建具有多粒度、多角度且语义流畅的知识表示框架。此方法选取故事中的主要元素作为知识因子,通过聚集与特化的抽象关联关系表示知识因子间的角色关联,形成自然的图结构。[结果 /结论]基于角色关联的知识表示方式具有语义自然、可扩展性强、支持多样化检索等优势,可解决现有知识表示方法存在的角色缺乏情境依赖与表示角度单一问题。
[Purpose / Significance] Narrative cultural heritage is rich in implicit knowledge and semantic information. It is difficult to describe the complex associations and vague semantics of the story elements by using only digital forms such as images and scripts. Therefore, it is necessary to explore the effective organization and presentation of narrative cultural heritage It is of great research significance. [Methods / Processes] Based on the narrative cultural heritage, a knowledge representation based on role association is proposed based on the semantic data model to construct a multi-granularity and multi-perspective semantic smooth knowledge representation framework. In this method, the main elements of the story are selected as the knowledge factor, and the abstract relationship between the aggregation and specialization is used to represent the role relationship between the knowledge factors to form a natural graph structure. [Result / Conclusion] The knowledge representation based on role association has the advantages of semantic nature, strong scalability and diversified retrieval, which can solve the single problem of lack of context dependency and representation in the existing knowledge representation methods.