[livres divers classés par sujet] [Informatique] [Algorithmique] [Programmation] [Mathématiques] [Hardware] [Robotique] [Langage] [Intelligence artificielle] [Réseaux]
[Bases de données] [Télécommunications] [Chimie] [Médecine] [Astronomie] [Astrophysique] [Films scientifiques] [Histoire] [Géographie] [Littérature]

Improving Intranet Search Engines Using Context Information from Databases

title Improving Intranet Search Engines Using Context Information from Databases
creator Mangold, Christoph
Schwarz, Holger
Mitschang, Bernhard
date 2005-10
language eng
identifier  http://www.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2005-57&engl=1
ISBN: 1-59593-140-6
description Information in enterprises comes in documents and databases. From a semantic viewpoint, both kinds of information are usually tightly connected. In this paper, we propose to enhance common search-engines with contextual information retrieved from databases. We establish system requirements and anecdotally demonstrate how documents and database information can be represented as the nodes of a graph. Then, we give an example how we exploit this graph information for document retrieval.
publisher ACM Press
type Text
Article in Proceedings
source In: Chowdhury, A. (ed.); Fuhr, N. (ed.); Ronthaler, M. (ed.); Schek, H.-J. (ed.); Teiken, W. (ed.): Proceedings of the 14th ACM International Conference on Information and Knowledge Management (CIKM 2005), Bremen, Germany, October 31 - November 5, 2005, pp. 349-350
ftp://ftp.informatik.uni-stuttgart.de/pub/library/ncstrl.ustuttgart_fi/INPROC-2005-57/INPROC-2005-57.pdf
contributor IPVS, Anwendersoftware
format application/pdf
58944 Bytes
subject Information Search and Retrieval (CR H.3.3)