基于RDF的语义知识超图存储研究  被引量:1

Storage of Semantic Knowledge Hypergraph Based on a Resource Description Framework

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作  者:宋雪雁[1] 张伟民 张祥青 Song Xueyan;Zhang Weimin;Zhang Xiangqing(School of Business and Management,Jilin University,Changchun 130012)

机构地区:[1]吉林大学商学与管理学院,长春130012

出  处:《情报学报》2023年第8期967-979,共13页Journal of the China Society for Scientific and Technical Information

基  金:国家社会科学基金一般项目“数据驱动的档案文献资源知识构建与知识服务研究”(21BTQ109)。

摘  要:针对资源描述框架(resource description framework,RDF)存储效率低、难以存储复杂语义关系等问题,本研究引入超图理论,探索一种融合超图理论的语义知识图谱存储模型,以期实现RDF对超图数据的存储,为其他学者利用RDF构建知识超图提供参考。本研究构建了适用于超图结构的语义知识超图(semantic knowledge hypergraph,SKH)模型,与语义知识图谱(semantic knowledge graph,SKG)进行对比,分析其存储效率与复杂语义关系存储能力,并论述其在知识检索、知识推理、数据转换与可视化等方面的应用。研究结果发现,SKH模型具有比SKG更优的存储效率与复杂语义关系存储能力,SKG的知识检索和知识推理方式也适用于SKH模型,SKH模型数据在一定程度上能与SKG数据相互转换,SKH模型具有更加多元且表意丰富的可视化方式,对于信息资源管理领域复杂语义存储具有重要意义。To address the low storage efficiency and difficulty in storing complex semantic relationships in a resource description framework(RDF),the hypergraph theory is introduced to explore a semantic knowledge graph storage model that integrates the hypergraph theory to realize the storage of hypergraph data based on the RDF and provide a reference for other scholars to use the RDF to build knowledge hypergraphs.We construct a semantic knowledge hypergraph(SKH)model suitable for hypergraphs,analyze its storage efficiency and storage capacity of complex semantic relations by comparing it with a semantic knowledge graph(SKG),and discuss its applications in knowledge retrieval,knowledge reasoning,data conversion,and visualization.We established that the SKH model has better storage efficiency and complex semantic relationship storage capacity than the SKG.The methods of knowledge retrieval and knowledge reasoning of SKG are also applicable to SKH.The SKH model data can be transformed into SKG data considerably,and the SKH model provides a diversified and expressive visualization method.It is crucial for complex semantic storage in the field of information resource management.

关 键 词:RDF 语义知识超图 知识存储 超图理论 

分 类 号:G250.7[文化科学—图书馆学] TP391.1[自动化与计算机技术—计算机应用技术]

 

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