Research on Semantic Integration across Heterogeneous Data Sources in Grid

被引：0
|
作者：
Liu, Guofeng [1 ]
Huang, Shaobin [1 ]
Cheng, Yuan [1 ]
机构：
[1] Harbin Engn Univ, Coll Comp Sci & Technol, Harbin, Heilongjiang, Peoples R China
来源：
FRONTIERS IN COMPUTER EDUCATION | 2012年 / 133卷
关键词：
Semantic Integration; Schema Matching; Text Classification; Grid;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Grid technology is a kind of important network information technology grows up in recent years, which can settle the problems of fully sharing and interactive applying among different kinds of resources (such as computing resources, storage resources etc.) distributing in the wide area. This paper focuses on the difficulties of semantic integration across heterogeneous data source in grid. For the existing automatic/semi-automatic schema matching algorithm, it analyzes the advantages and disadvantages and presents a generic schema matching model that full use of the schema and instance information in the schema.
引用
收藏
页码：397 / 404
页数：8
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