Publication: Optimizing Enterprise Search by automat...

Master data
Title: Optimizing Enterprise Search by automatically relating User Context to Textual Document Content
Subtitle:
Abstract: It is widely agreed that information retrieval (IR) systems benefit enormously from considering not only the user's query but also contextual data. In enterprise IR systems corporate knowledge bases and additional manually triggered information about users are normally taken to obtain such contextual data.
Keywords:
Publication type: Article in journal (Authorship)
Publication date: 2011 (Print)
Published by: Proceedings of the 11th International Conference on Knowledge Management and Knowledge Technologies
Proceedings of the 11th International Conference on Knowledge Management and Knowledge Technologies
to publication
 ( ACM Press; )
Title of the series: -
Volume number: -
Issue: -
First publication: Yes
Page: pp. 6 - 6

Versionen
Keine Version vorhanden
Publication date: 2011
ISBN: -
ISSN: -
Homepage: -

Authors
G. Fliedl
No Data available
*
J. Kerschbaumer
No Data available
*
M. Reichhold
No Data available
*
Günther Fliedl
Guenther.Fliedl@aau.at
Research activities
To visiting card
(internal)

Assignment
Organisation Address
Fakultät für Technische Wissenschaften
  Institut für Artificial Intelligence und Cybersecurity
Universitätsstr. 65-67
A-9020 Klagenfurt
Austria
  -993705
   aics-office@aau.at
https://www.aau.at/en/aics/
To organisation
Universitätsstr. 65-67
AT - A-9020  Klagenfurt

Categorisation
Subject areas
  • 1148 - Computational linguistics
Research Cluster No research Research Cluster selected
Citation index
  • n.a.
Information about the citation index: Master Journal List
Peer reviewed
  • Yes
Publication focus
  • Science to Science (Quality indicator: I)
Classification raster of the assigned organisational units:
working groups No working group selected

Cooperations
No partner organisations selected

Articles of the publication
No related publications