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面向知识图谱的语义有效性评价方法 被引量:1

Semantic Validity Evaluation Method for Knowledge Graph
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摘要 数据语义有效性是知识图谱能够被推广和提供准确服务的前提。为了保证知识图谱的数据语义有效性,提出了一种面向知识图谱的语义有效性评价方法,利用本体对语义的良好描述与规范,基于本体制定了推理规则,搭建了Mapping模型实现本体层到知识图谱的映射,构建了语义评价模型,设计并实现了面向知识图谱的实体关系搜索算法和语义有效性评价算法对知识图谱的语义有效性进行评价。基于上述工作,对油田领域内的多个知识图谱进行了语义有效性评价实验,结果表明论文所提方法能够有效地对知识图谱语义有效性进行评价。 The semantic validity of data is the premise that knowledge graph can be promoted and provide accurate services.In order to ensure that the semantic validity of the data of the knowledge graph,a method for evaluating the semantic validity of the knowledge graph is proposed,which make good use of ontology for semantic description,and the inference rules are formulated based on the ontology.A mapping model is constructed to implement the mapping from ontology to knowledge graph.A knowledge graph-oriented semantic evaluation model is designed and implemented.Two algorithms are designed.Entity relationship search algorithm and semantic validity evaluation algorithm,and the semantic validity of the knowledge graph is evaluated from two dimensions,which are semantic description coverage and semantic validity.Based on the above work,a semantic validity evaluation experiment is performed on multiple knowledge graphs in the field of oilfields,and the validity of the proposed method is verified by different dimensions of the indicators.
作者 尚福华 丁秋予 胡超 蒋毅文 杜睿山 SHANG Fuhua;DING Qiuyu;HU Chao;JIANG Yiwen;DU Ruishan(School of Computer and Information Technology,Northeast Petroleum University,Daqing 163318)
出处 《计算机与数字工程》 2022年第3期492-497,537,共7页 Computer & Digital Engineering
基金 国家科技重大专项(编号:2017ZX05019005-006) 黑龙江省哲学社会科学基金项目(编号:19SHE280)资助。
关键词 数据语义 知识图谱 语义有效性评价 语义评价模型 本体 data semantic knowledge graph semantic validity evaluation semantic evaluation model ontology
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  • 1刘群,印桂生,刘杰,刘大昕.关系模型上数据语义的正确性判别[J].哈尔滨工程大学学报,1996,17(3):59-64. 被引量:1
  • 2萨师煊 王珊.数据库系统概念[M].北京:高等教育出版社,1991..
  • 3林姚瑞.专家系统原理与实践[M].北京:清华大学出版社,1988..
  • 4Chang K C, He B, Li C, et al. Structured databases on the Web: observations and implications [ J ]. SIGMOD Record. 2004, 33(3): 61 -70.
  • 5Borgida A, Mylopoulos J. Data semantics revisited [ C ]// Proceedings of the Workshop on Semantic Web and Databases (SWDB) in Conjunction with the International Conference on Very Large Data Bases (VLDB), 2004:9 -26.
  • 6Poggi A, Lembo D, Calvanese D, et al. Linking data to ontologies [ J ]. Journal on Data Semantics X. 2008 : 133 - 173.
  • 7Rodriguez-muro M, Calvanese D. Dependencies : making ~ntology based data access work in practice [ C ]// Proceedings of the 5th Alberto Mendelzon International Workshop on Foundations of Data Management. Santiago, Chile : 2011.
  • 8Calvanese D, de Giacomo G, Lembo D, et al. Tractable reasoning and efficient query answering in description logics: the DL-Lite family [ J ]. Journal of Automated Reasoning, 2007.
  • 9Artale A, Calvanese D, Kontchakov R, et al. The DL-Lite family and relations [ J ]. Journal of Artificial Intelligence Research, 2009, 36:1 -69.
  • 10Calvanese D, de Giacomo G, Lembo D, et al. Using OWL in data integration [ M ]. Semantic Web Information Management--A Model Based Perspective, Springer, 2009.

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