摘要
随着信息爆炸时代的到来和语义网的快速发展,海量RDF数据存储已成为普遍关注的问题。分布式云计算技术为海量RDF的存储和查询提供了了新的、更高效的解决方案,而基于Hadoop平台的RDF数据存储研究成为了研究焦点。本文对Hadoop在海量RDF数据存储中应用的关键问题进行分析,介绍了现有的基于Hadoop平台的RDF存储系统并将它们进行综合分析,最后对未来发展方向进行了展望。
With the arrivalofthe era ofinformation explosion and the rapid development ofthe semantic web, the storage for large-scale RDF data has become an issue of common concern. A distributed cloud computing technology, which is more efficient, provides a new solution for large-scale RDF's storage and query and the research on storing RDF data based on Hadoop platform has become the focus of research. This paper carries on the analysis to the key issues of the application of the Hadoop in the massive RDF data storage and introduces the existing RDF Storage System based on Hadoop platform and summarize them. Finally this paper proposes the future development direction.
