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International Symposium on Methodologies for Intelligent Systems

ISMIS 2002: Foundations of Intelligent Systems pp 75–84Cite as

Structured Ontology and Information Retrieval for Email Search and Discovery

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2366))

Abstract

This paper discusses an document discovery tool based on formal concept analysis. The program allows users to navigate email using a visual lattice metaphor rather than a tree. It implements a virtual file structure over email where files and entire directories can appear in multiple positions. The content and shape of the lattice formed by the conceptual ontology can assist in email discovery. The system described provides more flexibility in retrieving stored emails than what is normally available in email clients. The paper discusses how conceptual ontologies can leverage traditional document retrieval systems.

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References

  1. J. Brutlag and J. Meek: Challenges of the Email Domain for Text Classification, in Proceedings of the 17th International Conference on Machine Learning ICML00, p. 103–110, 2000.

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  2. R. Cole, P. Eklund: Scalability in Formal Concept Analysis: A Case Study using Medical Texts. Computational Intelligence, Vol. 15, No. 1, pp. 11–27, 1999.

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  3. R. Cole, P. Eklund: Analyzing Email using Formal Concept Analysis. Proc. of the European Conf. on Knowledge and Data Discovery, pp. 309–315, LNAI 704, Springer-Verlag, Prague, 1999.

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  4. B. Ganter, R. Wille: Formal Concept Analysis: Mathematical Foundations. Springer-Verlag, Heidelberg 1999.

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  5. K. Jones: View Mail Users Manual. http://www.wonderworks.com/vm. 1999

  6. G. Stumme: Hierarchies of Conceptual Scales. Proc. Workshop on Knowledge Acquisition, Modeling and Management. Banff, 16.-22. October 1999

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  7. Vogt, F. and R. Wille, TOSCANA: A Graphical Tool for Analyzing and Exploring Data In: R. Tamassia, I.G. Tollis (Eds) Graph Drawing’ 94, LNCS 894 pp. 226–233, 1995.

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Author information

Authors and Affiliations

  1. School of Information Technology and Electrical Engineering, The University of Queensland, St. Lucia, QLD, 4072

    Peter Eklund & Richard Cole

Authors
  1. Peter Eklund
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  2. Richard Cole
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Editor information

Editors and Affiliations

  1. UFR d’Informatique, Université Claude Bernard Lyon I, 8, boulevard Niels Bohr, 69622, Villeurbanne Cedex, France

    Mohand-Saïd Hacid

  2. Dept. of Computer Science College of IT, University of North Carolina, Charlotte, NC, 28223, USA

    Zbigniew W. Raś

  3. Băt. L. Equipe de Recherche en Ingénierie des Connaissances, Université Lumière Lyon 2, 5, avenue Pierre Mendes-France, 69676, Bron Cedex, France

    Djamel A. Zighed

  4. LRI, Université Paris Sud, Băt. 490, 91405, Orsay Cedex, France

    Yves Kodratoff

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© 2002 Springer-Verlag Berlin Heidelberg

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Cite this paper

Eklund, P., Cole, R. (2002). Structured Ontology and Information Retrieval for Email Search and Discovery. In: Hacid, MS., Raś, Z.W., Zighed, D.A., Kodratoff, Y. (eds) Foundations of Intelligent Systems. ISMIS 2002. Lecture Notes in Computer Science(), vol 2366. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48050-1_10

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  • DOI: https://doi.org/10.1007/3-540-48050-1_10

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43785-7

  • Online ISBN: 978-3-540-48050-1

  • eBook Packages: Springer Book Archive

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