A Path-based Relational RDF Database

We propose a path-based scheme for storage and retrieval of RDF data using a relational database. The Semantic Web is much anticipated as the nextgeneration web where high-level processing of web resources are enabled by underlying metadata described in RDF format. A typical application of RDF is to describe ontologies or dictionaries, but in such applications, the size of RDF data is large. As largesize RDF data are emerging and their number is increasing, RDF databases that can manage large-size RDF data are becoming ever more important. To date, some RDF databases have already been proposed; however, they have critical problems: the performance of path queries is insufficient and they cannot discriminate between schema data and instance data. In this paper, as a solution to these problems, we propose a path-based relation RDF database. In our approach, we first divide the RDF graph into subgraphs, and then store each subgraph by applicable techniques into distinct relational table...

• Type: Conference
• Year: 2005
• Where: ADC
• Authors: Akiyoshi Matono, Toshiyuki Amagasa, Masatoshi Yoshikawa, Shunsuke Uemura
• Keywords: ADC 2005, Database, Largesize Rdf Data, RDF Data, RDF Databases