A Cloud-based Storage and Retrieval Solution for RDF Data
Abstract— In recent years, RDF (Resource Description Framework) has been widely recognized as a
standard data storage format. There is a real issue that how to store and retrieve RDF data efficiently, because
it is the foundation of all semantic-based application development. In this paper, we propose a novel storage
and retrieval solution based on cloud and R*-tree. Different to existing approaches, we use cloud-based
storage approach to compress RDF data, meanwhile R*-tree is adapted to retrieve compressed data. The
advantage is that it not only reduces the local storage pressure but also improves the retrieval performance
compare to existing approaches. Because we separate the storage and retrieval and adapt dictionary-based
compression approaches, in terms of security and flexibility, our solution is better than existing approaches.
Index Terms— Cloud-based Storage, RDF Compression, Linked Data, Indexed Approach, Join Algorithm, R*-tree, Sorted Lists
Sun Yuxiang, Yongju Lee
School of Computer Science and Engineering, Kyungpook National University, Korea
Cite: Sun Yuxiang, Yongju Lee, "A Cloud-based Storage and Retrieval Solution for RDF Data," Proceedings of 2019 the 9th International Workshop on Computer Science and Engineering, pp. 638-642, Hong Kong, 15-17 June, 2019.