Global similarity based ontology to enhance the quality of big and distributed RDF data
Article No.: 105, Pages 1 - 4
Abstract
Nowadays, the web content of e-commerce data is increasing rapidly, which make the traditional techniques to querying this resources not efficient, for that the researches focus to how using the new technologies to provide a relevant and complete answers to user query. Using Technologies of big data and web semantic are two new fields that can be exploiting to processes data semantically and to handle with storage of this hug data.
In recent works [1, 2], we have proposed the techniques using in big data and we are proposed in architecture that integrate the big RDF (Resources Description Framework) data semantically by exploiting HDFS (Hadoop Distributed File System) to store Global RDF schema and Map Reduce to process the query, in aims to give an infrastructure who give a complete and pertinent answers to user query. In this paper we are proposed a simple scenario to have a complete and pertinent response to user query.
References
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Kaoutar, L., Ghadi A., Kudagba, F.K.: Big data: methods, prospects, techniques. In: Ben Ahmed M., Boudhir A. (eds.) Innovations in Smart Cities and Applications. SCAMS 2017. Lecture Notes in Networks and Systems, vol 37. Springer, Cham (2018).
[2]
Kaoutar, Lamrani, Ghadi Abderrahim, et Florent Kunalè Kudagba. « Semantic Querying Big and Distributed RDF Data ». In Proceedings of the 3rd International Conference on Smart City Applications - SCA '18, 1--5. Tetouan, Morocco: ACM Press, 2018.
[3]
https://www.w3.org/RDF/
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https://www.w3.org/TR/rdf-sparql-query/
[5]
https://www.w3.org/TR/owl-semantics/mapping.html.
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Husain, M.F., McGlothlin, J.P., Masud, M.M., Khan, L.R., Thuraisingham, B.M.: Heuristics-based query processing for large RDFgraphs using cloud computing. IEEE Trans. Knowl. Data Eng. 23(9), 1312--1327 (2011)
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N. Koziris, "H2rdf+: an efficient data management system for big RDF graphs," in International Conference on Management of Data, SIGMOD 2014, Snowbird, UT, USA, June 22--27, 2014, 2014, pp. 909--912. I. S. Jacobs and C. P. Bean, "Fine particles, thin films and exchange anisotropy," in Magnetism, vol. III, G. T. Rado and H. Suhl, Eds. New York: Academic, 1963, pp. 271--350
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F. Goasdoúe, Z. Kaoudi, I. Manolescu, J. Quiańe-Ruiz, and S. Zam- petakis, "Cliquesquare: Flat plans for massively parallel RDF queries," in 31st IEEE International Conference on Data Engineering, ICDE 2015, Seoul, South Korea, April 13--17, 2015, 2015, pp. 771--782
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Khadilkar, V., Kantarcioglu, M., Thuraisingham, B. M., Castagna, P.: Jena-HBase: A distributed, scalable and efficient RDF triple store. In: Proceedings of International Semantic Web Conference Posters & Demos Track (2012)
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Zhang, X., Chen, L., Tong,Y., Wang, M.: EAGRE: towards scalable I/O efficient SPARQLquery evaluation on the cloud. In: Proceeding of 29th International Conference on Data Engineering, pp 565--576 (2013).
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J. Subercaze, C. Gravier, J. Chevalier, and F. Laforest, "Inferray: fast in-memory RDF inference," PVLDB, vol. 9, no. 6, pp. 468--479, 2016.
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Published In
October 2019
788 pages
ISBN:9781450362894
DOI:10.1145/3368756
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Published: 02 October 2019
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SCA2019: The Fourth International Conference on Smart City Applications
October 2 - 4, 2019
Casablanca, Morocco
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