Skip to main content
SpringerLink
Log in

Building and using temporal knowledge in archaeological documentation

  • Published:
Journal of Intelligent Information Systems Aims and scope Submit manuscript

Abstract

Our previous work on specialized digital libraries showed that each expert was brought to enrich the documentary corpus with his/her point of view (expressed by a model of knowledge). These points of view can be contradictory and therefore, it would be interesting to provide expert communities with tools, enabling them to point out meaning dissensions. In Archaeology, the comparison between different temporal models of knowledge make possible the publication of relative models of knowledge. These different models tend towards the emerging of a global knowledge shared by a community. In this paper we present a method and a set of concrete relations proposed to the annotator, which allows to extend some existing models of knowledge and to build new temporal knowledge. The proposed model, based on temporal algebra relations, permits the use of some efficient constraint propagation algorithms to extract new information.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

Notes

  1. Ecole française d’Athènes (http://www.efa.gr)

  2. http://cefael.efa.gr

  3. http://www.porphyry.org

References

  • Accary-Barbier, T., & Calabretto, S. (2005). Temporal reasoning on chronological annotation. In Proc. fourth Mexican international conference on artificial intelligence, Monterrey, Nuevo Leon. Mexico. Lecture notes in artificial intelligence series (pp. 51–60). New York: Springer.

    Google Scholar 

  • Accary, T., Bénel, A., Calabretto, S., & Iacovella, A. (2004). Confrontation de points de vue sur des corpus documentaires : Le cas de la modélisation du temps archéologique. In Proc. 14ème Congrès Francophone AFRIF-AFIA de Reconnaissance des Formes et Intelligence Artificielle [RFIA] (pp. 197–205). Toulouse, 28–30 janvier.

  • Allen, J. F. (1983). Maintaining knowledge about temporal intervals. Communications of the ACM, 26(11), 832–843.

    Article  MATH  Google Scholar 

  • Allen, J. F. (1991). Time and time again: The many ways to represent time. International Journal of Intelligent Systems, 6(4), 341–355.

    Article  Google Scholar 

  • Bachimont, B. (1999). L’intelligence artificielle comme écriture dynamique : de la raison graphique à la raison computationnelle. Au nom du sens. Paris: Grasset (ed.), J. Petitot.

  • Bénel, A. (2004). Expression du point de vue des lecteurs dans les bibliothèques numériques spécialisées. In Proc. Colloque International sur le Document Numérique, “Approches sémantiques sur le document numérique” (pp. 22–25). La Rochelle, (juin).

  • Bénel, A., Calabretto, S., Iacovella, A., & Pinon, J. M. (2002). Porphyry 2001: Semantics for scholarly publications retrieval. In Proc. thirteenth international symposium on methodologies for intelligent systems [ISMIS’2002], Lyon, 26–29 juin 2002. Lecture Notes in Artificial Intelligence 2366 (pp. 351–361). Berlin: Springer.

    Google Scholar 

  • Bibliothèque Nationale de France (2000). Guide d’indexation RAMEAU. ISBN 2-7177-2131-2.

  • Calabretto, S., Lallich-Boidin, G., & Sèdes, F. (2004). Les temps du document numérique. Rapport de l’action spécifique 95, CNRS/STIC.

  • Demoule, J. P. (1972). Projet de bibliographie automatique en préhistoire et protohistoire européenne. Banques de données archéologiques, Marseille, 12–14 juin.

  • Euzenat, J., Bessière C., et al. (1997). Dossier Raisonnement Temporel et spatial. Bulletin de l’Association Française pour l’Intelligence Artificielle, 29, 2–13 (Avril).

    Google Scholar 

  • Haton, J. P., Bouzid, N., Charpillet, F., et al. (1991). Le Raisonnement en Intelligence Artificielle : Modèles, techniques et architectures pour les systèmes à bases de connaissances (pp. 183–229): Inter Edition.

  • Jockey, P. (1999). L’archéologie. Paris, Belin.

  • Les thésaurus PACTOLS de FRANTIQ (1989). http://frantiq.mom.fr/html/pactols/pactols.html.

  • Vilain, M., Kautz, H., & Van Beek, P. (1989). Constraint propagation algorithms for temporal reasoning: A revised report. In: D. S. Weld & J. de Kleer (Eds.), Readings in qualitative reasoning about physical systems (pp. 373–381). San Francisco: Morgan-Kaufman.

    Google Scholar 

  • Vilain, M., & Kautz, H. (1986). Constraint propagation algorithms for temporal reasoning. In Proc. National Conference of the American Association for Artificial Intelligence (AAAI-86), (pp 377–382). Philadelphia, Pa.

Download references

Author information

Authors and Affiliations

  1. LIRIS UMR CNRS 5205, INSA de Lyon, Bat. Blaise Pascal 7, avenue Jean Capelle, 69621, Villeurbanne cedex, France

    Tiphaine Accary-Barbier & Sylvie Calabretto

Authors
  1. Tiphaine Accary-Barbier
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Sylvie Calabretto
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Tiphaine Accary-Barbier.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Accary-Barbier, T., Calabretto, S. Building and using temporal knowledge in archaeological documentation. J Intell Inf Syst 31, 147–159 (2008). https://doi.org/10.1007/s10844-008-0061-8

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10844-008-0061-8

Keywords

Search

Navigation