@INPROCEEDINGS{Schobera,
  author = {Schober, Jean-Pierre and Hermes, Thorsten and Herzog, Otthein},
  title = {Content-based Image Retrieval by Ontology-based Object Recognition},
  booktitle = {Proceedings of the KI-2004 Workshop on Applications of Description
	Logics (ADL-2004)},
  year = {2004},
  editor = {Haarslev, V. and Lutz, C. and M{\"o}ller, Ralf},
  month = {September},
  abstract = {The main disadvantage of image retrieval systems is their lack of
	domain knowledge. Therefore a retrieval system has to focus on primitive
	features, as Eakins and Graham name them. Due to the lack of background
	knowledge of the domain, the retrieval error rate is usually dissatisfying
	or the search options are limited to syntactic queries. Knowledgebased
	techniques allow for semantical searches filling the semantical gap.
	In this paper we present a supervised learning system OntoPic, which
	is based on the well-known ontologies coded in DAML+OIL, for providing
	the domain knowledge. Combined with a DL reasoner for ontologies,
	the main target is to achieve a new level of result quality while
	allowing semantical searches. The main advantage of this approach
	is the usage of the reasoner as a classifier, enabling a dual use
	of the ontology. The same domain knowledge can be used for better
	object recognition, the basis for satisfying results, and a semantical
	search. Our work is applied to the domain of landscape images.},
  owner = {pmania},
  timestamp = {2012.11.06},
  url = {http://www-agki.tzi.de/grp/ag-ki/download/2004/Schoberetal2004.pdf}
}