Modelling Knowledge with ZDoc for the Purposes of Information Retrieval

  • H. Zinglé
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4031)


The paper presents a tool designed for the purpose of information retrieval. It is based on a syntactic-semantic approach of natural language and it exploits the formalism of conceptual graphs for representing the elements of information related to a domain. ZDoc was developed in order to build lexical, semantic and pragmatic resources used to match graphs on documents. It is thus possible either to locate a given information or to list the elements of information contained in a document or in a document flow.


Information Retrieval Mathematical Linguistics Word Sense Disambiguisation Linguistic Structure Conceptual Graph 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
    Cadel, P.: Utilisation de connaissances linguistiques dans le cadre du traitement documentaire, analyse syntactico-sémantique de documents économiques. Thèse. Université de Nice (2000)Google Scholar
  2. 2.
    Cadel, P., Ledouble, H.: Extraction of concepts and multilingual information schemes from french and english economic documents. In: Proceedings LREC 2000, Athen, June 1-3, pp. 983–986 (2000)Google Scholar
  3. 3.
    Ledouble, H., Cadel, P., Kraif, O.: Analysis of combinations between economic objects and types of variation in French and English documents. In: Proceedings of COMLEX 2000, Kato Aicha, September 22-23, pp. 51–54 (2000)Google Scholar
  4. 4.
    Ledouble, H.: Contribution à la traduction de documents économiques anglais, importance de l’extraction et de la représentation du sens. Thèse. Université de Nice (2002)Google Scholar
  5. 5.
    Sowa, J.: Conceptual structures: information processing in man and machine. Addison-Wesley, Reading (1984)Google Scholar
  6. 6.
    Sowa, J.: Knowledge representation, Logical, Philosophical, and Computational Foundations. Brooks/Cole Publishing Co., Grove (2000)Google Scholar
  7. 7.
    Zinglé, H.: The ZStation workbench and the modelling of linguistic knowledge. In: Current Issues in Mathematical Linguistics, pp. 423–432. Elsevier-NHLS, Amsterdam (1994)Google Scholar
  8. 8.
    Zinglé, H.: Acquisition et traitement de données terminologiques avec ZTermino. In: Travaux du LILLA, Nice, vol. 2, pp. 7–22 (1997)Google Scholar
  9. 9.
    Zinglé, H.: ZTEXT, un outil pour l’analyse de corpus. In: Travaux du LILLA, Nice, vol. 3, pp. 69–78 (1998)Google Scholar
  10. 10.
    Zinglé, H.: La modélisation des langues naturelles, aspects théoriques et pratiques. Travaux du LILLA (numéro spécial), université de Nice (1999)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • H. Zinglé
    • 1
  1. 1.Université de Nice (F)NiceFrance

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