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Towards Semantic Integration of Heterogeneous Data Based on the Ontologies Modeling

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Mobile, Secure, and Programmable Networking (MSPN 2019)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 11557))

Abstract

The integration of the heterogeneous data is a major problem encountered today by the users of the Web. A typical integration scenario is that two heterogeneous systems A and B are built for different business purposes for different users at different times by different software developers using different information models. The two systems often have heterogeneous semantics, data structures and business rules are different.

It involves in particular the differences between systems infrastructures, the conceptual schematizations of the data and its meanings. Indeed, the ontology specifies its systems of knowledge representation. It allows the modeling of knowledge in an explicit and formal way by concepts and relations between these concepts. The semantic integration comes after syntactic integration and the mechanisms of translation connection.

In this paper, we proceeded to a semantic integration of the heterogeneous data based on the management of the heterogeneousness and the semantic ontology of the knowledge.

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References

  1. Hasan, M.K., et al.: A community-driven approach for missing background knowledge in Semantic matching. Int. J. Eng. Sci. Technol. 2(10), 5921–5928 (2010)

    Google Scholar 

  2. Nguyen Xuan, D.: Intégration de bases de données hétérogènes par articulation apriori d’ontologies application aux catalogues de composants industriels, thèse (2006)

    Google Scholar 

  3. Sneed, H.M.: Integrating legacy software into a service oriented architecture, discussion paper. In: Lehner, F., Nösekabel, H., Kleinschmidt, P. (eds.) Multikonferenz Wirtschaftsinformatik 2006, Band 2, XML4BPM Track, GITO-Verlag Berlin, pp. 345–360 (2006)

    Google Scholar 

  4. Bellatreche, L., et al.: An a priori approach for automatic integration of heterogeneous and autonomous databases. In: International Conference on Database and Expert Systems Applications (DEXA 2004), pp. 475–485, September 2004

    Google Scholar 

  5. What is heterogeneous? Conférence CIO-MIDMARK 20000. http://searchcio-midmarket.techtarget.com/definition/heterogeneous. Accessed 31 Jan 2019

  6. Touzi, A.C.J.: Aide à la conception de Système d’Information Collaboratif support de l’interopérabilité des entreprises, thèse Doctorat Ecole des Mines (2007)

    Google Scholar 

  7. Wiederhold, G.: Mediators in the architecture of future information systems. IEEE Comput. 25(3), 38–49 (1992)

    Article  Google Scholar 

  8. Hacid, M.-S., et al.: L’intégration de sources de données. http://leo.saclay.inria.fr//publifiles/gemo/GemoReport-416.pdf. Accessed 30 Jan 2019

  9. David, R., et al.: Virtual integration for improved system design. In: The First Analytic Virtual Integration of Cyber-Physical Systems Workshop, pp. 57–64, Avicps (2010)

    Google Scholar 

  10. Zhao, X., et al.: Web services in distributed information systems: availability, performance and composition. Int. J. Distrib. Syst. Technol. 1(1), 1–16 (2010)

    Article  MathSciNet  Google Scholar 

  11. Remus, D.B.: Transparent high availability for database systems. In: Minhas, U.F. et al. (eds.) Proceedings of the VLDB Endowment the 37th International Conference on Very Large Data Bases, Seattle, Washington, 29th August 3rd September 2011, vol. 4, no. 11 (2011)

    Google Scholar 

  12. La Virtualisation: machine virtuelle ou hyperviseur New Technologies System Virtualisation. http://www.ntsysv.com/index.php/la-virtualisation-machine-virtuelle-ou-hyperviseur. Accessed 17 Jan 2019

  13. Abrouk, L., DiJorio, L., Fiot, C., Hérin, D., Teisseire, M.: «Enrichissement d’ontologie basé sur les motifs séquentiels». 23èmes Journées Bases de Données Avancées, BDA 2007, Marseille, 23–26 October 2007

    Google Scholar 

  14. Laublet, P., Reynaud, C.: Ontologies et Gestion de l’Hétérogénéité Sémantique conférence GDR, INRI, 3 juillet, Grenoble, France, vol. 13, p. 5 (2007)

    Google Scholar 

  15. Ouksel, A.M., Jurca, O., Podnar, I., Aberer, K.: Efficient probabilistic subsumption checking for content-based publish/subscribe systems. In: Middleware, pp. 121–140 (2006)

    Google Scholar 

  16. Nagiba, A.M., et al.: AlSIGHTED: a framework for semantic integration of heterogeneous sensor data on the Internet of things. Proc. Comput. Sci. 83 529–536 (2016). The 7th International Conference on Ambient Systems, Networks and Technologies (ANT 2016)

    Article  Google Scholar 

  17. Bachimont, B.: Engagement Sémantique et Engagement Ontologique: Conception et Réalisation D’ontologies En Ingénierie Des Connaissances, chap. 19, pp. 305–324. Eyrolles (2000)

    Google Scholar 

  18. Gruber, T.: A translation approach to portable ontology specifications Knowl. Acquisition 5(2), 199–220 (1993)

    Article  Google Scholar 

  19. Chandrasekaran, B., Josephson, J.R., Benjamins, V.R.: What are ontologies and why do we need them? IEEE Intell. Syst. 14(1), 20–26 (1999)

    Article  Google Scholar 

  20. Brisson, L.: Mesures d’intérêt subjectif et représentation des connaissances. Rapport technique, Laboratoire I3S, Université Sophia Antipolis, Nice France, Octobre 2004. http://www.i3s.unice.fr/mh/RR/2004/RR-04.35-L.BRISSON.pdf. Accessed 10 Jan 2019

  21. Mellal, N.: Réalisation de l’interopérabilité sémantique des systèmes, basée sur les ontologies et les flux d’information, thèse (2007)

    Google Scholar 

  22. Wang, J., et al.: Integrating heterogeneous data source using ontology. J. Softw. 4(8), 843–850 (2009)

    Article  Google Scholar 

  23. Noy, N.F., et al.: Semantic integration: a survey of ontology-based approaches. ACM SIGMOD Rec. 33(4), 65–70 (2004)

    Article  Google Scholar 

  24. Shi, L., et al.: SBVR as a semantic hub for integration of heterogeneous systems - a case study and experience report -. Statsbygg, Pb. 8106 Dep, 0032 Oslo, Norway. http://ceur-ws.org/Vol-1004/paper10.pdf

  25. Cruz, I.F., Xiao, H.: ADVIS, the role of ontologies in data integration, Lab Department of Computer Science University of Illinois at Chicago, USA. www.cs.uic.edu/~advis/publications/dataint/eis05j.pdf

  26. Olaru, M.O.: Heterogeneous data warehouse analysis and dimensional integration Ph.D. dissertation, International Doctorate School in Information and Communication Technologies XXVI Cycle. www.dbgroup.unimo.it/tesi/Tesi_Phd/phdOlaru.pdf

  27. Biffl, S., et al.: Semantic integration of heterogeneous data sources for monitoring frequent-release software projects. In: 2010 International Conference on Complex, Intelligent and Software Intensive Systems, pp. 360–367 in p. 365. IEEE Computer Society (2010)

    Google Scholar 

  28. Macura, M., et al.: Integration of data from heterogeneous sources using ETL technology. Comput. Sci. 15(2), 109–132 (2014)

    Article  Google Scholar 

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Authors and Affiliations

  1. Department of Mathematics and Computing, University Cheikh Anta Diop, Dakar, Senegal

    Cheikh Ould El Mabrouk & Karim Konaté

Authors
  1. Cheikh Ould El Mabrouk
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  2. Karim Konaté
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Corresponding authors

Correspondence to Cheikh Ould El Mabrouk or Karim Konaté .

Editor information

Editors and Affiliations

  1. Télécom SudParis, Évry, France

    Éric Renault

  2. Conservatoire National des Arts et Métiers, Paris, France

    Selma Boumerdassi

  3. Hassan II Mohammedia University, Mohammedia, Morocco

    Cherkaoui Leghris

  4. Conservatoire National des Arts et Métiers, Paris, France

    Samia Bouzefrane

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Mabrouk, C.O.E., Konaté, K. (2019). Towards Semantic Integration of Heterogeneous Data Based on the Ontologies Modeling. In: Renault, É., Boumerdassi, S., Leghris, C., Bouzefrane, S. (eds) Mobile, Secure, and Programmable Networking. MSPN 2019. Lecture Notes in Computer Science(), vol 11557. Springer, Cham. https://doi.org/10.1007/978-3-030-22885-9_17

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  • DOI: https://doi.org/10.1007/978-3-030-22885-9_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-22884-2

  • Online ISBN: 978-3-030-22885-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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