Document Retrieval for Email Search and Discovery using Formal Concept Analysis
R. Cole, P. Eklund, und G. Stumme.
Journal of Applied Artificial Intelligence (AAI) 17 (3): 257-280 (2003)

This paper discusses an document discovery tool based on conceptual clustering by 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 and aid knowledge discovery in document collections.

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@article{cole03document,
  abstract = {This paper discusses an document discovery tool based on
conceptual clustering by 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 and aid knowledge discovery in document
collections.},
  added-at = {2010-04-07T13:54:41.000+0200},
  author = {Cole, Richard J. and Eklund, Peter W. and Stumme, Gerd},
  biburl = {https://puma.uni-kassel.de/bibtex/2473f5c2cca394fac0de61086082a09de/stumme},
  comment = {alpha},
  description = {Publications of Gerd Stumme},
  interhash = {48bdafb15aa8650ee735074d7ae449ca},
  intrahash = {473f5c2cca394fac0de61086082a09de},
  journal = {Journal of Applied Artificial Intelligence (AAI)},
  keywords = {2003 analysis concept email fca formal information myown nepomuk retrieval search},
  number = 3,
  pages = {257-280},
  timestamp = {2010-04-07T13:54:44.000+0200},
  title = {Document Retrieval for Email Search and Discovery using Formal Concept Analysis},
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2003/AAI03_emails.pdf},
  volume = 17,
  year = 2003
}

%0 Journal Article
%1 cole03document
%A Cole, Richard J.
%A Eklund, Peter W.
%A Stumme, Gerd
%D 2003
%J Journal of Applied Artificial Intelligence (AAI)
%K 2003 analysis concept email fca formal information myown nepomuk retrieval search
%N 3
%P 257-280
%T Document Retrieval for Email Search and Discovery using Formal Concept Analysis
%U http://www.kde.cs.uni-kassel.de/stumme/papers/2003/AAI03_emails.pdf
%V 17
%X This paper discusses an document discovery tool based on
conceptual clustering by 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 and aid knowledge discovery in document
collections.

PUMA

Document Retrieval for Email Search and Discovery using Formal Concept Analysis
R. Cole, P. Eklund, und G. Stumme.
Journal of Applied Artificial Intelligence (AAI) 17 (3): 257-280 (2003)

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PUMA

Document Retrieval for Email Search and Discovery using Formal Concept AnalysisR. Cole, P. Eklund, und G. Stumme. Journal of Applied Artificial Intelligence (AAI) 17 (3): 257-280 (2003)

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Document Retrieval for Email Search and Discovery using Formal Concept Analysis
R. Cole, P. Eklund, und G. Stumme.
Journal of Applied Artificial Intelligence (AAI) 17 (3): 257-280 (2003)