An Efficient SQL-based RDF Querying Scheme

Devising a scheme for efficient and scalable querying of Resource Description Framework (RDF) data has been an active area of current research. However, most approaches define new languages for querying RDF data, which has the following shortcomings: 1) They are difficult to integrate with SQL queries used in database applications, and 2) They incur inefficiency as data has to be transformed from SQL to the corresponding language data format. This paper proposes a SQL based scheme that avoids these problems. Specifically, it introduces a SQL table function RDF_MATCH to query RDF data. The results of RDF_MATCH table function can be further processed by SQL’s rich querying capabilities and seamlessly combined with queries on traditional relational data. Furthermore, the RDF_MATCH table function invocation is rewritten as a SQL query, thereby avoiding run-time table function procedural overheads. It also enables optimization of rewritten query in conjunction with the rest of the query....

• Type: Conference
• Year: 2005
• Where: VLDB
• Authors: Eugene Inseok Chong, Souripriya Das, George Eadon, Jagannathan Srinivasan
• Keywords: Database, RDF Data, RDF_MATCH Table Function, Table Function, VLDB 2005