[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.
Zhang Chen
,
Chao Lemen
,
Jin Qingwen
. Research on Semantic Description and Reasoning Method of Machine-Understandable Data Story[J]. Library and Information Service, 2023
, 67(20)
: 142
-150
.
DOI: 10.13266/j.issn.0252-3116.2023.20.013
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