Building thesaurus-based knowledge graph based on schema layer
作者: Bo QiaoKui FangYiming ChenXinghui Zhu
作者单位: 1Hunan Agricultural University
刊名: Cluster Computing, 2017, Vol.20 (1), pp.81-91
来源数据库: Springer Nature Journal
DOI: 10.1007/s10586-016-0725-z
关键词: Knowledge graphAgricultural thesaurusSchema layerTripleMathematical model
原始语种摘要: Google proposed the concept of knowledge graph to improve the quality of searching results in 2012, so the knowledge graph brought a hot topic in the field of academic and industry. The knowledge graph can effectively improve the searching quality and the accuracy of Q & A system, which is a hot issue. With the help of agricultural experts, this paper based on the Agricultural Thesaurus, determines the rules for judging whether a thesaurus is a concept or an entity, establishes maps from Agricultural Thesaurus to the agricultural knowledge graph schema layer and the data layer. Therefore, the large-scale automatic building is realized from the Agricultural Thesaurus to the agricultural knowledge graph. In order to effectively manage and utilize triples, this paper proposes a mathematical...
全文获取路径: Springer Nature  (合作)
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影响因子:0.776 (2012)

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关键词翻译
关键词翻译
  • knowledge 知识
  • thesaurus 词义汇编词典
  • graph 图表
  • schema 模式
  • triples 三联拖车
  • searching 勘探
  • automatic 自动的
  • pattern 模型
  • improve 改进
  • rules 守则