Hybrid storage scheme for RDF data management in Semantic Web

With the advent of the Semantic Web as the next-generation of Web technology, large volumes of Semantic Web data described in RDF will appear in the near future. Most previous approaches treat RDF data as a form of triple and store them in a large-sized relational table. Basically, since it always requires the whole table to be scanned for processing a query, it may degrade retrieval performance. In addition, it does not scale well. In this paper, we propose a hybrid storage approach for RDF data management. The proposed approach aims to provide good query performance, scalability, manageability, and flexibility. To achieve these goals, we distinguish some frequently appeared properties in RDF data. A set of RDF data with a distinguished property is independently treated and stored together in a corresponding property-based table. For processing a query having a specific property, we can avoid full scanning the whole data and only have to access a corresponding table. For queries having specific properties, the proposed scheme achieves better performance than the previous approach.