Query Transformation in Ontology-Based Relational Data Integration

Jinpeng Wang, Yafei Zhang, Z. Miao, J. Lu
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引用次数: 7

Abstract

The emergence of the Semantic Web brings new paradigm shift of computing in data integration research where data is heterogeneous and distributed. Ontology-based heterogeneous relational data integration has recently attracted many diverse contributions, since most of the information is still stored in relational databases. This paper focuses on the query transformation problem in such an integration scenario. To bridge the semantic gap between the express power of SPARQL and SQL, we describe the semantic of SPARQL graph patterns using relational algebra, which is intended to bring formality and generality to manipulability of SPARQL query. The semantic equivalence of this SPARQL relational algebra is further discussed and a SPARQL to SQL query transforming algorithm is presented.
基于本体的关系数据集成中的查询转换
语义网的出现为异构和分布式数据集成研究带来了新的计算范式转变。基于本体的异构关系数据集成最近吸引了许多不同的贡献,因为大多数信息仍然存储在关系数据库中。本文主要研究这种集成场景下的查询转换问题。为了弥合SPARQL和SQL表达能力之间的语义差距,我们使用关系代数描述SPARQL图模式的语义,旨在为SPARQL查询的可操作性带来形式化和通用性。进一步讨论了这种SPARQL关系代数的语义等价性,并提出了一种SPARQL到SQL的查询转换算法。
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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