Name
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. |
Year | DOI | Venue |
|---|---|---|
1997 | 10.1109/ICDAR.1997.620604 | ICDAR-1 |
Keywords | Field | DocType |
application domain,document analysis task,strategic knowledge,knowledge-based document analysis,syntactic knowledge,structural knowledge,semantic knowledge,analysis process declaratively,knowledge representation language,analysis process,document analysis system,markup languages,performance,databases,knowledge based systems,logic,information retrieval,sgml,knowledge base,knowledge representation,text analysis,information analysis,concrete | Procedural knowledge,Domain knowledge,Personal knowledge management,Computer science,Knowledge-based systems,Knowledge engineering,Knowledge extraction,Natural language processing,Artificial intelligence,Knowledge base,Open Knowledge Base Connectivity | Conference |
ISSN | ISBN | Citations |
1520-5363 | 0-8186-7898-4 | 5 |
PageRank | References | Authors |
0.74 | 3 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Karl-hans Bläsius | 1 | 38 | 11.48 |
| Beate Grawemeyer | 2 | 184 | 17.60 |
| Isabel John | 3 | 57 | 5.27 |
| Norbert Kuhn | 4 | 5 | 0.74 |