Random Articles
Reseach Article
A Schematic Analysis on Selective-RDF Database Stores
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 86 - Number 11 |
| Year of Publication: 2014 |
| Authors: Sharmi Sankar, Awny Sayed, Jihad Alkhalaf Bani-younis |
10.5120/15030-3348
|
Sharmi Sankar, Awny Sayed, Jihad Alkhalaf Bani-younis . A Schematic Analysis on Selective-RDF Database Stores. International Journal of Computer Applications. 86, 11 ( January 2014), 21-28. DOI=10.5120/15030-3348
Abstract
RDF has gained great interest in both academia and industry as an important language to describe graph data. With the increasing amount of RDF data which is becoming available, efficient and scalable nowadays has become a challenge to achieve the semantic web vision. The RDF model has attracted the attention of the database community and researchers to propose various methods to store and query the RDF data efficiently. However, current RDF database suffer from several problems, like, poor performance behavior for querying RDF data. . This paper provides a comparative analysis made on selective RDF databases storages. It provides a precise study on the various means of having a persistent storage and access of RDF graphs. Recently there has been a major development on initiatives in query processing, access protocols and triple-store technologies. In the evaluation the use of a non- memory and a non-native store Sesame, a native store Allegro graph and Jena API a main-memory based RDF storage system, specifically designed to support fast semantic association discovery. The framework and applications with the ability to store and to query RDF data are analyzed and investigated. Moreover, this paper gives an overview of the features of techniques for storing RDF data and the main purpose of study is to find suitable storage system to store RDF data.
References
- A survey of RDF storage approaches David C. FAYE, Olivier CURE,Guillaume BLIN ARIMA Journal, vol. 15 (2012), pp. 11-35.
- http://jena. sourceforge. net/inference/index. html
- http://jena. apache. org/about_jena/architecture. html
- http://www. franz. com/agraph/allegrograph
- http://www. bioontology. org/wiki/images/6/6a/Triple_Stores. pdf
- An Evaluation of Triple-Store Technologies for Large Data Stores, Kurt Rohloff, Mike Dean, Ian Emmons, Dorene Ryder and John Sumner.
- http://www. franz. com/agraph/allegrograph3. 3/agraph3. 3_bench_lubm. lhtml
- LUBM: A Benchmark for OWL knowledge base systems. Yuanbo Guo, Zheng xiang pan, Jeff Heflin presented on ISWC2004.
- Guo, Yuanbo, Pan, Zhengxiang and Heflin, Jeff. LUBM: A Benchmark for OWL Knowledge Base Systems. Web Semantics. 3(2) July 2005. pp. 158-182.
- Kevin Wilkinson, Carig Sayers, Harumi Kuno , Dave Reynolds, "Efficient RDF storage and retrieve in Jena2 ", Enterprise system and data management laboratory
- Jeen Broekstra, Arjohn Kampman, Frank van Harmelen, " Sesame: An architecture for storing and quering RDF data and schema information", Vrije university Amsterdam
- David C. Faye, Oliver crue, Guillaume BLIN, "a survey of RDF storage approaches",Arima Journal
- Florian Stegmier, Udo Grobner, Mario Doller, Harald Kosch, Gero Baese, "Evaluation of current RDF database solutions", Chair of distributed information systems University of Passau
- YingHong Liao, ChuenTsai Sun, "An educational genetic algorithms learning tool", http://www. ewh. ieee. org/soc/es/May2001/14/Begin. htm.
- Performance of native SPARQL query processors , UPPSALA University, Shridevika Maharajan.
- Resource Description Framework (RDF). http://www. w3. org/RDF/
- Y. Guo, Z. Pan, and J. Heflin. Choosing the Best Knowledge Base System for Large Semantic Web Applications. In Proc. of the 13th International World Wide Web Conference (WWW2004) - Alternate Track Papers & Posters, 2004.
- S. Alexaki et al. The RDFSuite: Managing Voluminous RDF Description Bases. In Proc. of the 2nd International Workshop on the Semantic Web (SemWeb' 01), in conjunction with the Tenth International World Wide Web Conference (WWW10), 2001.
- S. Alexaki et al. On Storing Voluminous RDF Description: The case of Web Portal Catalogs. In Proc. of the 4th International Workshop on the Web and Databases, 2001.
- J. J. Carroll and J. D. Roo ed. OWL Web Ontology Test Cases, W3C Recommendation 10 February 2004, http://www. w3. org/TR/2004/REC-owl-test-20040210/
- http://swat. cse. lehigh. edu/projects/lubm/
- http://www. w3. org/wiki/RdfStoreBenchmarking
- Tu Ngoc Nguyen, Wolf Siberski ,SLUBM: An Extended LUBM Benchmark for Stream Reasoning.
- Eric Miller, An Introduction to the Resource Description Framework, D-Lib Magazine, ISSN 1082-9873, May 1998.
- Alisdair Owens, An Investigation into Improving RDF Store Performance,March 2009.
- Olivier Cure,David Faye,Guillaume Blin, Towards a better insight of RDF triples Ontology-guided Storage system abilities, Jun 2013.
- http://jena. apache. org/documentation/inference/#api
- http://www. w3. org/wiki/LargeTripleStores
- Vaibhav Khadilkar, Jyothsna Rachapalli,Bhavani Thuraisingham,The University of Texas at Dallas, Semantic Web Implementation Scheme for National Vulnerability Database,2009.
Index Terms
Keywords