Extracting local schema from semistructured data based on graph-oriented   semantic model

doi:10.1007/BF02943240

CORC > 北京大学 > 信息科学技术学院

	Extracting local schema from semistructured data based on graph-oriented semantic model
	Wang, TJ ; Tang, SW ; Yang, DQ ; Liu, YF ; Lin, B
刊名	计算机科学技术学报英文版
	2001
关键词	information integration data model semistructured data extracting schema
DOI	10.1007/BF02943240
英文摘要	Many modern applications (e-commerce, digital library, etc.) require integrated access to various information sources (from traditional RDBMS to semistructured Web repositories). Extracting schema from semistructured data is a prerequisite to integrate heterogeneous information sources. The traditional method that extracts global schema may require time (and space) to increase exponentially with the number of objects and edges in the source. A new method is presented in this paper, which is about extracting local schema. In this method, the algorithm controls the scale of extracting schema within the "schema diameter" by examining the semantic distance of the target set and using the Hash class and its path distance operation. This method is very efficient for restraining schema from expanding. The prototype validates the new approach.; Computer Science, Hardware & Architecture; Computer Science, Software Engineering; SCI(E); EI; 中国科学引文数据库(CSCD); 3; ARTICLE; 6; 560-566; 16
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/291585]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Wang, TJ,Tang, SW,Yang, DQ,et al. Extracting local schema from semistructured data based on graph-oriented semantic model[J]. 计算机科学技术学报英文版,2001.
APA	Wang, TJ,Tang, SW,Yang, DQ,Liu, YF,&Lin, B.(2001).Extracting local schema from semistructured data based on graph-oriented semantic model.计算机科学技术学报英文版.
MLA	Wang, TJ,et al."Extracting local schema from semistructured data based on graph-oriented semantic model".计算机科学技术学报英文版 (2001).