基于闭包在线查询关系数据

2010 Second International Conference on Computational Intelligence and Natural Computing Pub Date : 2010-11-22 DOI:10.1109/CINC.2010.5643813

Zhuang Miao, L. Jie, Jinpeng Wang, Zhou Bo

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引用次数: 0

摘要

语义Web促进了异构关系数据库的语义集成研究。基于本体论的异构关系数据集成近年来引起了人们的广泛关注，因为大多数信息仍然存储在关系数据库中。本文主要研究基于本体的异构关系数据库查询的查询效率问题。为了提高查询效率，提出了一种基于语义的关系数据查询方法。全局模式是用RDF(S)描述的，可以抽象为图。全局模式上的SPARQL查询通过图映射执行。通过计算模式的RDFS闭包，脱机生成全局模式的圆形图。该方法降低了在线查询的时间成本，提高了查询效率。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Online querying relational data based on closure

Semantic Web has promoted researches on semantic integration of heterogeneous relational databases. Ontology-based heterogeneous relational data integration is recently attracting many diverse attentions, since most of the information is still stored in relational databases. This paper focuses on the query efficiency problem of ontology-based heterogeneous relational databases querying. To improve the query efficiency, we presented an approach for semanticbased querying of relational data. Global schema is described in RDF(S) and can be abstracted as graph. SPARQL queries over global schema are executed by graph mapping. Rounder graph of global schema is generated offline by calculating the RDFS closure of the schema. Our approach has decreased time cost of online querying and improved the efficiency.

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2010 Second International Conference on Computational Intelligence and Natural Computing

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