An Experimental Evaluation of Relational RDF Storage and Querying Techniques

Hooran Mahmoudinasab, Sherif Sakr

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

8 Citations (Scopus)

Abstract

The Resource Description Framework (RDF) is a flexible model for representing information about resources in the web. With the increasing amount of RDF data which is becoming available, efficient and scalable management of RDF data has become a fundamental challenge to achieve the Semantic Web vision. The RDF model has attracted a lot of attention of the database community and many researchers have proposed different solutions to store and query RDF data efficiently. In this paper, we focus on evaluating the state-of-the-art of the approaches which are relying on the relational infrastructure to provide scalable engines to store and query RDF data. Our experimental evaluation is done on top of recently introduced SP2Bench performance benchmark for RDF query engines. The results of our experiments shows that there is still room for optimization in the proposed generic relational RDF storage schemes and thus new techniques for storing and querying RDF data are still required to bring forward the Semantic Web vision.
Original languageEnglish
Title of host publicationDatabase Systems for Advanced Applications; Lecture Notes in Computer Science 6193
EditorsMasatoshi Yoshikawa, Xiaofeng Meng, Chiemi Watanabe, Takayuki Yumoto, Qiang Ma, Lifeng Sun, Chiemi Watanabe
Place of PublicationBerlin, Germany
PublisherSpringer, Springer Nature
Pages215-226
Number of pages11
ISBN (Print)9783642145889
DOIs
Publication statusPublished - 2010
Event15th International Conference, DASFAA 2010, International Workshops: GDM, BenchmarX, MCIS, SNSMW, DIEW, UDM, - Tsukuba, Japan
Duration: 1 Apr 20104 Apr 2010

Conference

Conference15th International Conference, DASFAA 2010, International Workshops: GDM, BenchmarX, MCIS, SNSMW, DIEW, UDM,
CityTsukuba, Japan
Period1/04/104/04/10

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