An Experimental Evaluation of Relational RDF Storage and Querying Techniques

Hooran Mahmoudinasab; Sherif Sakr

doi:10.1007/978-3-642-14589-6_22

An Experimental Evaluation of Relational RDF Storage and Querying Techniques

Hooran Mahmoudinasab, Sherif Sakr

School of Computing

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

10 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 language	English
Title of host publication	Database Systems for Advanced Applications; Lecture Notes in Computer Science 6193
Editors	Masatoshi Yoshikawa, Xiaofeng Meng, Chiemi Watanabe, Takayuki Yumoto, Qiang Ma, Lifeng Sun, Chiemi Watanabe
Place of Publication	Berlin, Germany
Publisher	Springer, Springer Nature
Pages	215-226
Number of pages	11
ISBN (Print)	9783642145889
DOIs	https://doi.org/10.1007/978-3-642-14589-6_22
Publication status	Published - 2010
Event	15th International Conference, DASFAA 2010, International Workshops: GDM, BenchmarX, MCIS, SNSMW, DIEW, UDM, - Tsukuba, Japan Duration: 1 Apr 2010 → 4 Apr 2010

Conference

Conference	15th International Conference, DASFAA 2010, International Workshops: GDM, BenchmarX, MCIS, SNSMW, DIEW, UDM,
City	Tsukuba, Japan
Period	1/04/10 → 4/04/10

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10.1007/978-3-642-14589-6_22

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Mahmoudinasab, H., & Sakr, S. (2010). An Experimental Evaluation of Relational RDF Storage and Querying Techniques. In M. Yoshikawa, X. Meng, Chiemi Watanabe, T. Yumoto, Q. Ma, L. Sun, & C. Watanabe (Eds.), Database Systems for Advanced Applications; Lecture Notes in Computer Science 6193 (pp. 215-226). Springer, Springer Nature. https://doi.org/10.1007/978-3-642-14589-6_22

Mahmoudinasab, Hooran ; Sakr, Sherif. / An Experimental Evaluation of Relational RDF Storage and Querying Techniques. Database Systems for Advanced Applications; Lecture Notes in Computer Science 6193. editor / Masatoshi Yoshikawa ; Xiaofeng Meng ; Chiemi Watanabe ; Takayuki Yumoto ; Qiang Ma ; Lifeng Sun ; Chiemi Watanabe. Berlin, Germany : Springer, Springer Nature, 2010. pp. 215-226

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title = "An Experimental Evaluation of Relational RDF Storage and Querying Techniques",

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.",

author = "Hooran Mahmoudinasab and Sherif Sakr",

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publisher = "Springer, Springer Nature",

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Mahmoudinasab, H & Sakr, S 2010, An Experimental Evaluation of Relational RDF Storage and Querying Techniques. in M Yoshikawa, X Meng, Chiemi Watanabe, T Yumoto, Q Ma, L Sun & C Watanabe (eds), Database Systems for Advanced Applications; Lecture Notes in Computer Science 6193. Springer, Springer Nature, Berlin, Germany, pp. 215-226, 15th International Conference, DASFAA 2010, International Workshops: GDM, BenchmarX, MCIS, SNSMW, DIEW, UDM, Tsukuba, Japan, 1/04/10. https://doi.org/10.1007/978-3-642-14589-6_22

An Experimental Evaluation of Relational RDF Storage and Querying Techniques. / Mahmoudinasab, Hooran; Sakr, Sherif.
Database Systems for Advanced Applications; Lecture Notes in Computer Science 6193. ed. / Masatoshi Yoshikawa; Xiaofeng Meng; Chiemi Watanabe; Takayuki Yumoto; Qiang Ma; Lifeng Sun; Chiemi Watanabe. Berlin, Germany: Springer, Springer Nature, 2010. p. 215-226.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

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AU - Mahmoudinasab, Hooran

AU - Sakr, Sherif

PY - 2010

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AB - 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.

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BT - Database Systems for Advanced Applications; Lecture Notes in Computer Science 6193

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A2 - Chiemi Watanabe, null

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ER -

An Experimental Evaluation of Relational RDF Storage and Querying Techniques

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