Abstract
New standards in document representation, like for example SGML, XML, and MPEG-7, compel Information Retrieval to design and implement models and tools to index, retrieve and present documents according to the given document structure. The paper presents the design of an Information Retrieval system for multimedia structured documents, like for example journal articles, e-books, and MPEG-7 videos. The system is based on Bayesian Networks, since this class of mathematical models enable to represent and quantify the relations between the structural components of the document. Some preliminary results on the system implementation are also presented.
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References
Acid, S., de Campos, L.M., Fernández-Luna, J.M., Huete, J.F.: An information retrieval model based on simple Bayesian networks. International Journal of Intelligent Systems 18, 251–265 (2003)
Baumgarten, C.: A probabilistic model for distributed information retrieval. In: Proceedings of the 20th ACM SIGIR Conference, pp. 258–266 (1997)
Bordogna, G., Pasi, G.: Flexible representation and querying of heterogeneous structured documents. Kibernetika 36(6), 617–633 (2000)
Chiaramella, Y.: Information retrieval and structured documents. In: Agosti, M., Crestani, F., Pasi, G. (eds.) ESSIR 2000. LNCS, vol. 1980, pp. 291–314. Springer, Heidelberg (2001)
Crestani, F., Lalmas, M., van Rijsbergen, C.J., Campbell, L.: Is this document relevant?... probably. A survey of probabilistic models in information retrieval. ACM Computing Survey 30(4), 528–552 (1998)
de Campos, L.M., Fernández-Luna, J.M., Huete, J.F.: A layered Bayesian network model for document retrieval. In: Crestani, F., Girolami, M., van Rijsbergen, C.J.K. (eds.) ECIR 2002. LNCS, vol. 2291, pp. 169–182. Springer, Heidelberg (2002)
de Campos, L.M., Fernández-Luna, J.M., Huete, J.F.: The Bayesian network retrieval model: Foundations and performance. Submitted to the International Journal of Approximate Reasoning
Graves, A., Lalmas, M.: Video retrieval using an MPEG-7 based inference network. In: Proceedings of the 25th ACM–SIGIR Conference, pp. 339–346 (2002)
Kazai, G., Lalmas, M., Reid, J.: The Shakespeare test collection, Available at http://qmir.dcs.qmul.ac.uk/Focus/resources2.htm
Lalmas, M., Ruthven, I.: Representing and retrieving structured documents with Dempster-Shafer’s theory of evidence: Modelling and evaluation. Journal of Documentation 54(5), 529–565 (1998)
Myaeng, S.H., Jang, D.H., Kim, M.S., Zhoo, Z.C.: A flexible model for retrieval of SGML documents. In: Proceedings of the 21th ACM–SIGIR Conference, pp. 138–145 (1998)
Piwowarski, B., Faure, G.E., Gallinari, P.: Bayesian networks and INEX. In: Proceedings of the INEX Workshop, pp. 7–12 (2002)
Ribeiro-Neto, B.A., Muntz, R.R.: A belief network model for IR. In: Proceedings of the 19th ACM–SIGIR Conference, pp. 253–260 (1996)
Roelleke, T., Lalmas, M., Kazai, G., Ruthven, I., Quicker, S.: The accessibility dimension for structured document retrieval. In: Crestani, F., Girolami, M., van Rijsbergen, C.J.K. (eds.) ECIR 2002. LNCS, vol. 2291, pp. 284–302. Springer, Heidelberg (2002)
Salton, G., McGill, M.J.: Introduction to Modern Information Retrieval. McGraw-Hill, Inc., New York (1983)
Turtle, H.R., Croft, W.B.: Evaluation of an inference network-based retrieval model. Information Systems 9(3), 187–222 (1991)
Vegas, J., de la Fuente, P., Crestani, F.: A graphical user interface for structured document retrieval. In: Crestani, F., Girolami, M., van Rijsbergen, C.J.K. (eds.) ECIR 2002. LNCS, vol. 2291, pp. 268–283. Springer, Heidelberg (2002)
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Crestani, F., de Campos, L.M., Fernández-Luna, J.M., Huete, J.F. (2003). A Multi-layered Bayesian Network Model for Structured Document Retrieval. In: Nielsen, T.D., Zhang, N.L. (eds) Symbolic and Quantitative Approaches to Reasoning with Uncertainty. ECSQARU 2003. Lecture Notes in Computer Science(), vol 2711. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45062-7_6
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DOI: https://doi.org/10.1007/978-3-540-45062-7_6
Publisher Name: Springer, Berlin, Heidelberg
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