Semantic Schema Matching for String Attribute with Word Vectors and its Evaluation
作者: Kenji NozakiTeruhisa HochinHiroki Nomiya
刊名: International Journal of Networked and Distributed Computing, 2019, Vol.7 (3)
来源数据库: Atlantis Press
DOI: 10.2991/ijndc.k.190710.001
原始语种摘要: Instance-based schema matching is to determine the correspondences between heterogeneous databases by comparing instances. Heterogeneous databases consist of an enormous number of tables containing various attributes, causing the data heterogeneity. In such cases, it is effective to consider semantic information. In this paper, we propose the instance-based schema matching considering attributes’ semantics. We used Word2Vec to match attributes of character strings. The result shows a possibility to detect matching between attributes with high semantic similarity.
全文获取路径: Atlantis出版社 

  • matching 匹配
  • considering 鉴于
  • semantic 语义上的
  • tables 薄片
  • schema 模式
  • instance 例子
  • comparing 比较
  • similarity 相似性
  • possibility 可能性
  • propose 提议