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Storing in Semantic Web – Vertical Partitioning Approach

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2017
Ashraf F. A. Mahmoud, Al Tyeb E. Abdelgabar

Ashraf F A Mahmoud and Al Tyeb E Abdelgabar. Storing in Semantic Web – Vertical Partitioning Approach. International Journal of Computer Applications 162(2):36-39, March 2017. BibTeX

	author = {Ashraf F. A. Mahmoud and Al Tyeb E. Abdelgabar},
	title = {Storing in Semantic Web – Vertical Partitioning Approach},
	journal = {International Journal of Computer Applications},
	issue_date = {March 2017},
	volume = {162},
	number = {2},
	month = {Mar},
	year = {2017},
	issn = {0975-8887},
	pages = {36-39},
	numpages = {4},
	url = {},
	doi = {10.5120/ijca2017913279},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


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.


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