Graph-Based RDF Data Management
Graph-Based RDF Data Management
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DOI：
10.1007/s41019-016-0029-6
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发表时间：
2017-02
影响因子：
4.2
通讯作者：
Lei Zou;M. Tamer Özsu
中科院分区：
文献类型：
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作者：
Lei Zou;M. Tamer Özsu
RDF数据的不断增长需要高效的系统来存储和查询它们。人们一直在努力将RDF数据映射到关系表示，并且存在许多遵循这种方法的系统。我们一直在研究另一种方法，即维护原生图模型来表示RDF数据，并利用图数据库技术（如结构感知索引和图匹配算法）来处理RDF数据管理。自2009年以来，我们一直在开发一套遵循这种方法的基于图的RDF数据管理系统：gStore、gStore- d和gAnswer。前两个工具的目的是分别在集中式和分布式/并行环境中支持高效的SPARQL查询计算，而最后一个工具的目的是为用户访问RDF存储库提供一个易于使用的界面（自然语言问答）。在本文中，我们给出了这些系统的概述，并讨论了我们的设计理念。
The increasing size of RDF data requires efficient systems to store and query them. There have been efforts to map RDF data to a relational representation, and a number of systems exist that follow this approach. We have been investigating an alternative approach of maintaining the native graph model to represent RDF data, and utilizing graph database techniques (such as a structure-aware index and a graph matching algorithm) to address RDF data management. Since 2009, we have been developing a set of graph-based RDF data management systems that follow this approach: gStore, gStore-D and gAnswer. The first two are designed to support efficient SPARQL query evaluation in a centralized and distributed/parallel environments, respectively, while the last one aims to provide an easy-to-use interface (natural language question/answering) for users to access a RDF repository. In this paper, we give an overview of these systems and also discuss our design philosophy.