Optimizing Query execution over Linked Data

Abstract Linked open data also known as web of linked data is a globally distributed database. The four fold increase in the use of linked open data shows its need in the future. This linked data can be queried with SPARQL protocol and RDF query language also known as SPARQL. Various optimization techniques have been proposed but just a couple implemented as yet. In this paper two most feasible query optimization methods are proposed. Solution one is applying federation and query rewriting. Solution two is expressing the RDF structure as a context graph and pruning intermediate results based on probability or selectivity of the result. The paper gives a brief understanding for both solutions.

View Full Paper: IJETAE_Optimizing Query execution over Linked Data (size 354 KB)

Comments are closed.