Framework Architecture for Querying Distributed RDF Data

  • Lamrani KaoutarEmail author
  • Ghadi Abderrahim
  • Florent Kunalè Kudagba
Conference paper
Part of the Lecture Notes in Intelligent Transportation and Infrastructure book series (LNITI)


Today, the Web knows a rapid increase in data level that makes their processing and storage limited in traditional technologies. That is why future technology tries to exploit the notion of semantics and ontology by adapting them to big data technology to allow a fundamental change in the access to voluminous information in the web. That Intended to have a complete and relevant response to the user request. Our research work focuses on the semantic web. Focus exactly on the semantic search on many data expressed by RDF (Resource Description Framework) in distributed system. The semantic language proposed by W3C (World Wide Web Consortium) provides the formalism necessary for the representation of data for the Semantic Web. However, only a knowledge representation format is insufficient and we need powerful response mechanisms to manage effectively global and distributed queries across a set of stand-alone and heterogeneous RDF resources marked by the dynamic and scalable nature of their content.




  1. 1.
    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)CrossRefGoogle Scholar
  2. 2.
    I. Yaqoob et al., Big data: from beginning to future. Int. J. Inf. Manag. 36(6), 1231–1247 (2016)CrossRefGoogle Scholar
  3. 3.
    Benbernou, S., Huang, X., Ouziri, M.: Semantic-based and entity-resolution fusion to enhance quality of big RDF data. IEEE Trans. Big Data, 1 (2017)Google Scholar
  4. 4.
    Schultz, A., Matteini, A., Isele, R., Bizer, C., Becker, C.: LDIF—linked data integration framework. In Proceedings of the Second International Workshop on Consuming Linked Data (COLD 2011), Bonn, Germany, 23 Oct 2011Google Scholar
  5. 5.
    Goasdoué, F., Kaoudi, Z., Manolescu, I., Quiané-Ruiz, J., Zampetakis, S.: Cliquesquare: Flat plans for massively parallel RDF queries. In: 31st IEEE International Conference on Data Engineering, ICDE 2015, Seoul, South Korea, pp. 771–782, 13–17 Apr 2015Google Scholar
  6. 6.
    Koziris, N.: H2rdf+: an efficient data management system for big RDF graphs. In: International Conference on Management of Data, SIGMOD 2014, Snowbird, UT, USA, pp. 909–912, 22–27 June 2014. Jacobs, I.S., Bean, C.P.: Fine particles, thin films and exchange anisotropy. In: Rado, G.T., Suhl, H. (eds.) Magnetism, vol. III, pp. 271–350. Academic, New York (1963)Google Scholar
  7. 7.
    Subercaze, J., Gravier, C., Chevalier, J., Laforest, F.: Inferray: fast in-memory RDF inference. PVLDB 9(6), 468–479 (2016)Google Scholar
  8. 8.
    Gurajada, S., Seufert, S., Miliaraki, I., Theobald, M.: Triad: a distributed shared-nothing RDF engine based on asynchronous message passing. In: International Conference on Management of Data, SIGMOD 2014, Snowbird, UT, USA, pp. 289–300, 22–27 June 2014Google Scholar
  9. 9.
    Knoblock, C.A., Szekely, P.: Semantics for big data integration and analysis. In: Proceedings of the AAAI Fall Symposium on Semantics for Big Data (2013)Google Scholar
  10. 10.
    Knoblock, C.A., Szekely, P., Ambite, J.L., Gupta, S., Goel, A., Muslea, M., Lerman, K., Taheriyan, M., Mallick, P.: Semi-automatically mapping structured sources into the semantic web. In: Proceedings of the Extended SemanticWeb Conference (2012). Young, M.: The Technical Writer’s Handbook. University Science, Mill Valley, CA (1989)Google Scholar
  11. 11.
    Endrullis, S., Thor, A., Rahm, E.: WETSUIT: an efficient mashup tool for searching and fusing web entities. PVLDB 5(12), 1970–1973 (2012)Google Scholar
  12. 12.
    Calvanese, D., Giacomo, G.D., Lembo, D., Lenzerini, M., Rosati, R.: Tractable reasoning and efficient query answering in description logics: The dl-lite family. J. Autom. Reason. 39, 385 (2007)MathSciNetCrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Lamrani Kaoutar
    • 1
    Email author
  • Ghadi Abderrahim
    • 1
  • Florent Kunalè Kudagba
    • 1
  1. 1.IT Department Faculty of Science and TechnologyTangierMorocco

Personalised recommendations