Multi-Entity Bayesian Networks for Knowledge-Driven Analysis of ICH Content

  • Giannis Chantas
  • Alexandros Kitsikidis
  • Spiros Nikolopoulos
  • Kosmas Dimitropoulos
  • Stella Douka
  • Ioannis Kompatsiaris
  • Nikos GrammalidisEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8926)


In this paper we introduce Multi-Entity Bayesian Networks (MEBNs) as the means to combine first-order logic with probabilistic inference and facilitate the semantic analysis of Intangible Cultural Heritage (ICH) content. First, we mention the need to capture and maintain ICH manifestations for the safeguarding of cultural treasures. Second, we present the MEBN models and stress their key features that can be used as a powerful tool for the aforementioned cause. Third, we present the methodology followed to build a MEBN model for the analysis of a traditional dance. Finally, we compare the efficiency of our MEBN model with that of a simple Bayesian network and demonstrate its superiority in cases that demand for situation-specific treatment.


Semantic analysis Intangible cultural heritage Multi-entity bayesian networks 


  1. 1.
    Biederman, I.: Recognition-by-components: A theory of human image understanding. Psychological Review 94, 115–147 (1987)CrossRefGoogle Scholar
  2. 2.
    Li, F.F., Fergus, R., Perona, P.: One-shot learning of object categories. IEEE Trans. Pattern Anal. Mach. Intell. 28(4), 594–611 (2006)CrossRefGoogle Scholar
  3. 3.
    Li, J., Wang, J.Z.: Real-time computerized annotation of pictures. IEEE Trans. Pattern Anal. Mach. Intell. 30(6), 985–1002 (2008)CrossRefGoogle Scholar
  4. 4.
    Torralba, A., Fergus, R., Freeman, W.T.: 80 million tiny images: A large data set for nonparametric object and scene recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence 30, 1958–1970 (2008)CrossRefGoogle Scholar
  5. 5.
    Laskey, K.B.: Mebn: A language for first-order bayesian knowledge bases. Artificial Intelligence 172(2–3), 14–178 (2008)MathSciNetGoogle Scholar
  6. 6.
    Mallik, A., Chaudhuri, S., Ghosh, H.: Nrityakosha: Preserving the intangible heritage of indian classical dance. ACM Journal on Computing and Cultural Heritage 4(3), 11 (2011)Google Scholar
  7. 7.
    Koller, D., Pfeffer, A.: Object-oriented bayesian networks. In: Uncertainty in Artificial Intelligence: Proceedings of the Thirteenth Conference. Morgan Kaufmann, San Francisco (1997)Google Scholar
  8. 8.
    Pfeffer, A.: Probabilistic Reasoning for Complex Systems. Stanford University, Stanford (2000)Google Scholar
  9. 9.
    Mallik, A., Pasumarthi, A.P., Chaudhury, S.: Multimedia ontology learning for automatic annotation and video browsing. In: 1st ACM International Conference on Multimedia Information Retrieval (MIR 2008), New York (2008)Google Scholar
  10. 10.
    Dasiopoulou, S., Kompatsiaris, I., Strintzis, M.G.: Applying fuzzy DLs in the extraction of image semantics. In: Spaccapietra, S., Delcambre, L. (eds.) Journal on Data Semantics XIV. LNCS, vol. 5880, pp. 105–132. Springer, Heidelberg (2009) CrossRefGoogle Scholar
  11. 11.
    Suárez-Figueroa, M.C., Gómez-Pérez, A., Villazón-Terrazas, B.: How to write and use the ontology requirements specification document. In: Dillon, T., Herrero, P., Meersman, R. (eds.) OTM 2009, Part II. LNCS, vol. 5871, pp. 966–982. Springer, Heidelberg (2009) CrossRefGoogle Scholar
  12. 12.
    Microsoft: Kinect for windows — voice, movement and gesture recognition technology (2013).
  13. 13.
    Kitsikidis, A., Dimitropoulos, K., Douka, S., Grammalidis, N.: Dance analysis using multiple kinect sensors. In: VISAPP2014 (2014)Google Scholar
  14. 14.
    Jensen, F.V.: Bayesian artificial intelligence: Kevin b. korb, ann e. nicholson, chapman & hall, 354 pages (2004). Pattern Anal. Appl. 7(2), 221–223 (2004)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Giannis Chantas
    • 1
  • Alexandros Kitsikidis
    • 1
  • Spiros Nikolopoulos
    • 1
  • Kosmas Dimitropoulos
    • 1
  • Stella Douka
    • 2
  • Ioannis Kompatsiaris
    • 1
  • Nikos Grammalidis
    • 1
    Email author
  1. 1.Centre for Research and Technology HellasInformation Technologies InstituteThessalonikiGreece
  2. 2.Department of Physical Education and Sport ScienceAristotle University of ThessalonikiThessalonikiGreece

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