@inproceedings{BlaesiusGrawemeyerJohnetal., author = {Bl{\"a}sius, Karl-Hans and Grawemeyer, Beate and John, Isabel and Kuhn, Norbert}, title = {Knowledge-based document analysis}, series = {Proceedings of the Fourth International Conference on Document Analysis and Recognition}, volume = {2}, booktitle = {Proceedings of the Fourth International Conference on Document Analysis and Recognition}, publisher = {IEEE}, pages = {728 -- 731}, language = {en} } @article{BlaesiusGrawemeyerJohnetal., author = {Bl{\"a}sius, Karl-Hans and Grawemeyer, Beate and John, Isabel and Kuhn, Norbert}, title = {Knowledge-based interpretation of business letters}, series = {Knowledge-Based Systems for Enterprise Knowledge Management KI-97}, journal = {Knowledge-Based Systems for Enterprise Knowledge Management KI-97}, publisher = {Citeseer}, abstract = {The performance of document analysis systems significantly depends on knowledge about the application domain that can be exploited in the analysis process. Typically, one has to deal with different sources of knowledge like syntactic knowledge, semantic knowledge or strategic knowledge guiding the analysis process. We present a knowledge based document analysis system based on a knowledge representation language specially designed for document analysis tasks. It allows to model and to interpret structural knowledge about documents and knowledge about the analysis process declaratively in a common framework}, language = {en} }