Effective Partitioning and Multiple RDF Indexing for Database Triple Store

Authors

  • Sunitha Abburu Adhiyamaan College of Engineering
  • Suresh Babu Golla Adhiyamaan College of Engineering

DOI:

https://doi.org/10.4186/ej.2015.19.5.139

Keywords:

Ontology, RDF, Partition, Indexing, SPARQL query

Abstract

The capability of semantic technology leads to adaption of semantic technology to multiple applications of various domains. Due to vast number of applications, the size of RDF triple store is increasing. Effective semantic query execution has become a challenge due to the structure of RDF triple store. Effective indexing and partitioning leads to good sematic query performance against RDF triple store. The current research work has focused on various indexing techniques and proposed a predicate centric partitioning and multiple RDF indexing method for database triple store. A detailed analysis process is been executed to measure and compare the query performance. The current method is evaluated using standard benchmark and real datasets with various indexing techniques. Later the methodology is applied to R & D project management dataset. A set of twenty seven queries has been derived by considering various user requirements that cover most of the SPARQL constructs. The method is implemented and a detailed evaluation has been successfully carried out. The query time is evaluated on R & D project management dataset. The test results indicate that the proposed method provides considerable improvement in overall query performance.

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Author Biographies

Sunitha Abburu

Department of Computer Applications, Adhiyamaan College of Engineering, Hosur, Tamilnadu, India

Suresh Babu Golla

Department of Computer Applications, Adhiyamaan College of Engineering, Hosur, Tamilnadu, India

Published

Vol 19 No 5, Oct 31, 2015

How to Cite

[1]
S. Abburu and S. B. Golla, “Effective Partitioning and Multiple RDF Indexing for Database Triple Store”, Eng. J., vol. 19, no. 5, pp. 139-154, Oct. 2015.