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Storing in Semantic Web – Vertical Partitioning Approach

by Ashraf F. A. Mahmoud, Al Tyeb E. Abdelgabar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 162 - Number 2
Year of Publication: 2017
Authors: Ashraf F. A. Mahmoud, Al Tyeb E. Abdelgabar
10.5120/ijca2017913279

Ashraf F. A. Mahmoud, Al Tyeb E. Abdelgabar . Storing in Semantic Web – Vertical Partitioning Approach. International Journal of Computer Applications. 162, 2 ( Mar 2017), 36-39. DOI=10.5120/ijca2017913279

@article{ 10.5120/ijca2017913279,
author = { Ashraf F. A. Mahmoud, Al Tyeb E. Abdelgabar },
title = { Storing in Semantic Web – Vertical Partitioning Approach },
journal = { International Journal of Computer Applications },
issue_date = { Mar 2017 },
volume = { 162 },
number = { 2 },
month = { Mar },
year = { 2017 },
issn = { 0975-8887 },
pages = { 36-39 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume162/number2/27217-2017913279/ },
doi = { 10.5120/ijca2017913279 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:07:53.867521+05:30
%A Ashraf F. A. Mahmoud
%A Al Tyeb E. Abdelgabar
%T Storing in Semantic Web – Vertical Partitioning Approach
%J International Journal of Computer Applications
%@ 0975-8887
%V 162
%N 2
%P 36-39
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper aims to provide storing solution for the Semantic Web which has some constraints in terms of efficiency and scalability because of the nature of resource description framework. RDF based on triple format (subject, property, object). The solution presented here is vertical partitioning approach in which two columns are used for each property. On the other hand, by having a look into property table technique in terms of concept, pros, and cons. Besides, a brief talk is provided about column-store approach and C-Store DBMS.

References
  1. http://www.linkeddatatools.com/semantic-web-basics
  2. Semantic web definition Day: 13-08-201 05:22:25 PM.
  3. Abadi, Daniel J. Query execution in column-oriented database systems. Diss. Massachusetts Institute of Technology, 2008.‏
  4. Gylfason, B. P. "The future of the web: The semantic web." (2010).‏
  5. Sheth, Amit P., et al. "The Semantic Web-ISWC 2008." (2008).‏
  6. Samuel R. Madden, Abadi, Daniel J., and Nabil Hachem. "Column-stores vs. row-stores: How different are they really?." Proceedings of the 2008 ACM SIGMOD international conference on Management of data. ACM, 2008.‏
  7. Adam Marcus, et al. "Scalable semantic web data management using vertical partitioning." Proceedings of the 33rd international conference on Very large data bases. VLDB Endowment, 2007.‏
  8. Stonebraker, Mike, et al. "C-store: a column-oriented DBMS." Proceedings of the 31st international conference on Very large data bases. VLDB Endowment, 2005.‏
  9. http://www.w3schools.comResource Description Framework definition Day: 15-08-2016 09:26:15 AM. Resource Description Framework triples Day: 16-08-2016 12:20:10 PM.
  10. Weiss, Cathrin, Panagiotis Karras, and Abraham Bernstein. "Hexastore: sextuple indexing for semantic web data management." Proceedings of the VLDB Endowment 1.1 (2008): 1008-1019.‏
  11. Madden, S. R., et al. "SW-Store: a vertically partitioned DBMS for Semantic Web data management." The VLDB Journal—The International Journal on Very Large Data Bases 18.2 (2009): 385-406.‏
  12. Curé, Olivier, and Guillaume Blin. RDF Database Systems: Triples Storage and SPARQL Query Processing. Morgan Kaufmann, 2014.‏
Index Terms

Computer Science
Information Sciences

Keywords

semantic web column- store C-Store resource description framework property table technique vertical partitioning approach.

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