1992
@article{Fur1992,
vgclass = {refpap},
author = {Norbert Fuhr},
title = {Probabilistic Models in Information Retrieval},
journal = {The Computer Journal},
volume = {35},
number = {3},
pages = {243--255},
year = {1992},
url = {http://www.is.informatik.uni-duisburg.de/bib/xml/Fuhr_92.html},
url1 = {http://www.is.informatik.uni-duisburg.de/bib/fulltext/ir/Fuhr:92.ps.gz},
abstract = {Information retrieval systems (IRS) are interactive
information systems for vague queries and uncertain knowledge. The
application range is not restricted to text retrieval, since the
approach can be applied to other forms of knowledge as well. In this
paper, a conceptual model for IRS is presented in which a distiction is
made between the logic, the layout and the semantic view of database
objects. Different methods for improving the semantic view are
discussed. For the intrinsic uncertainty of IRS, a generalization of
the proof-theoretic view on databases is presented; this approach is
based on a probabilistic logic. Due to the uncertainty, IRS have to be
used mostly in interactive mode. Here the user has to consider the
output resulting from each dialogue step before he decides on the
further proceeding. For this purpose, IR systems need a variety of
interactive functions.},
}