[目的/意义] 基于数据故事本体模型提出一种语义描述及推理方法，旨在生成机器可理解的数据故事语义脚本，完整的数据故事产品能够利用此脚本生成。[方法/过程] 首先，基于OWL本体的建模和知识表示方法设计数据故事的XML格式和RDF (S)格式的描述脚本。然后，基于SWRL定义数据故事的语义描述规则，论述数据故事化的语义描述及推理流程与关键任务。最后，以UCI breast-cancer数据集为数据来源，将存储在MySQL数据库中的数据故事内容转换为XML数据故事描述脚本和RDF (S)数据故事语义描述脚本，并使用推理方法标记数据故事的要素及关系。[结果/结论] 定义包含故事要素、故事要素关联以及故事实例的数据故事脚本，划分出数据故事语义描述与推理的流程以及形式化表示活动中的关键任务，并提出可操作的面向数据故事化的语义描述和推理方法。
[Purpose/Significance] The paper aims to propose a semantic description and reasoning method based on the data story ontology model, and generate a machine-understandable data story semantic script. A complete data story product can be generated by using this script. [Method/Process] First, based on the modeling and knowledge representation of OWL ontology, the XML format of the data story and the description script of the RDF(S) format were designed. Second, the study used SWRL to define the semantic description rules of data stories, and discussed the semantic description, reasoning process and key tasks of data storytelling. Finally, using the UCI breast-cancer dataset as the data source, the content of the data story stored in the MySQL database was converted into an XML data story description script and an RDF(S) data story semantic description script, and the elements of the data story were marked and relation. [Result/Conclusion] This study defines a data story script including story elements, story element associations, and story instances, divides the process of semantic description and reasoning of data stories, and formalizes key tasks in activities, and puts forward operable semantic description and reasoning methods for data storytelling.
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