LinkedMDR: A Collective Knowledge Representation of a Heterogeneous Document Corpus

  • Nathalie Charbel
  • Christian Sallaberry
  • Sebastien Laborie
  • Gilbert Tekli
  • Richard Chbeir
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10438)


The ever increasing need for extracting knowledge from heterogeneous data has become a major concern. This is particularly observed in many application domains where several actors, with different expertise, exchange a great amount of information at any stage of a large-scale project. In this paper, we propose LinkedMDR: a novel ontology for Linked Multimedia Document Representation that describes the knowledge of a heterogeneous document corpus in a semantic data network. LinkedMDR combines existing standards and introduces new components that handle the connections between these standards and augment their capabilities. It is generic and offers a pluggable layer that makes it adaptable to different domain-specific knowledge. Experiments conducted on construction projects show that LinkedMDR is applicable in real-world scenarios.


Heterogeneous documents Document Representation Ontologies Information Retrieval 


  1. 1.
    Arndt, R., Troncy, R., Staab, S., Hardman, L., Vacura, M.: COMM: designing a well-founded multimedia ontology for the web. In: Aberer, K., Choi, K.-S., Noy, N., Allemang, D., Lee, K.-I., Nixon, L., Golbeck, J., Mika, P., Maynard, D., Mizoguchi, R., Schreiber, G., Cudré-Mauroux, P. (eds.) ASWC/ISWC -2007. LNCS, vol. 4825, pp. 30–43. Springer, Heidelberg (2007). doi: 10.1007/978-3-540-76298-0_3 CrossRefGoogle Scholar
  2. 2.
    Bloechle, J.-L., Rigamonti, M., Hadjar, K., Lalanne, D., Ingold, R.: XCDF: a canonical and structured document format. In: Bunke, H., Spitz, A.L. (eds.) DAS 2006. LNCS, vol. 3872, pp. 141–152. Springer, Heidelberg (2006). doi: 10.1007/11669487_13 CrossRefGoogle Scholar
  3. 3.
    Brut, M., Laborie, S., Manzat, A.M., Sedes, F.: Integrating heterogeneous metadata into a distributed multimedia information system. In: COGnitive systems with Interactive Sensors (2009)Google Scholar
  4. 4.
    buildingSMART: IFC-Industry Foundation Classes, IFC4 Add2 Release (2016).
  5. 5.
    Charbel, N., Tekli, J., Chbeir, R., Tekli, G.: Resolving XML semantic ambiguity. In: EDBT, pp. 277–288 (2015)Google Scholar
  6. 6.
    Dublin Core Metadata Initiative: DCMI Metadata Terms (2012).
  7. 7.
    EXIF: Exchangeable Image File Format for digital still cameras (2002).
  8. 8.
    Garcia, R., Celma, O.: Semantic integration and retrieval of multimedia metadata. In: 5th International Workshop on Knowledge Markup and Semantic Annotation, pp. 69–80 (2005)Google Scholar
  9. 9.
    Guo, K., Liang, Z., Tang, Y., Chi, T.: SOR: an optimized semantic ontology retrieval algorithm for heterogeneous multimedia big data. J. Comput. Sci. (2017)Google Scholar
  10. 10.
    Hunter, J.: An overview of the MPEG-7 description definition language (DDL). IEEE Trans. Circuits Syst. Video Technol. 11(6), 765–772 (2001)CrossRefGoogle Scholar
  11. 11.
    Huovila, P.: Linking IFCs and BIM to sustainability assessment of buildings. In: Proceedings of the CIB W78 2012: 29th International Conference (2012)Google Scholar
  12. 12.
    ITEA: LINDO-Large scale distributed INDexation of multimedia Objects (2010).
  13. 13.
    Klinger, M., Susong, M.: Chapter, phases of the contruction project. In: The Construction Project: Phases, People, Terms, Paperwork, Processes. American Bar Association (2006)Google Scholar
  14. 14.
    OpenCV: Open Source Computer Vision Library (2011).
  15. 15.
    Pankowski, T., Brzykcy, G.: Data access based on faceted queries over ontologies. In: Hartmann, S., Ma, H. (eds.) DEXA 2016 Part II. LNCS, vol. 9828, pp. 275–286. Springer, Cham (2016). doi: 10.1007/978-3-319-44406-2_21 CrossRefGoogle Scholar
  16. 16.
    Saathoff, C., Scherp, A.: Unlocking the semantics of multimedia presentations in the web with the multimedia metadata ontology. In: Proceedings of the 19th International Conference on World Wide Web, pp. 831–840. ACM (2010)Google Scholar
  17. 17.
    Salembier, P., Smith, J.R.: MPEG-7 multimedia description schemes. IEEE Trans. Circuits Syst. Video Technol. 11(6), 748–759 (2001)CrossRefGoogle Scholar
  18. 18.
    Scherp, A., Eissing, D., Saathoff, C.: A method for integrating multimedia metadata standards and metadata formats with the multimedia metadata ontology. Int. J. Semant. Comput. 6(01), 25–49 (2012)CrossRefGoogle Scholar
  19. 19.
    Suarez-Figueroa, M.C., Atemezing, G.A., Corcho, O.: The landscape of multimedia ontologies in the last decade. Multimed. Tools Appl. 62(2), 377–399 (2013)CrossRefGoogle Scholar
  20. 20.
    Tekli, J., Charbel, N., Chbeir, R.: Building semantic trees from XML documents. Web Semant.: Sci. Serv. Agents World Wide Web 37, 1–24 (2016)CrossRefGoogle Scholar
  21. 21.
    The Moving Picture Experts Group: MPEG7-Multimedia Content Description Interface (2001).
  22. 22.
    The Text Encoding Initiative Consortium: TEI-Text Encoding Initiative (1994).
  23. 23.
    W3C: Resource Description Framework (2004).
  24. 24.
    W3C: Ontology for Media Resources 1.0 (2012).
  25. 25.
    Weibel, S., Kunze, J., Lagoze, C., Wolf, M.: Dublin Core metadata for resource discovery. Technical report 2070-1721 (1998)Google Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Nathalie Charbel
    • 1
  • Christian Sallaberry
    • 2
  • Sebastien Laborie
    • 1
  • Gilbert Tekli
    • 3
  • Richard Chbeir
    • 1
  1. 1.University Pau & Pays Adour, LIUPPA, EA3000AngletFrance
  2. 2.University Pau & Pays Adour, LIUPPA, EA3000PauFrance
  3. 3.University of Balamand (UOB)TripoliLebanon

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