Cross document ontology based information for multimedia retrieval
Dennis Reidsma, Jan Kuper, Thierry Declerck, Horacio Saggion, Hamish Cunningham · University of Twente Research Information · 2003
This paper describes the MUMIS project, which applies ontology based Information Extraction to improve the results of Information Retrieval in multimedia archives. It makes use of a domain specific ontology, multilingual lexicons and reasoning algorithms to automatically create a semantic annotation of sources. The innovative aspect is the use of a cross document merging algorithm that combines the information extracted from separate textual sources to produce an integrated, more complete, annotation of the material. This merging and unification process uses ontology based reasoning and scenarios which are extracted from annotated sources. The algorithms presented here have been implemented in a working demonstration prototype and have been applied on material from the Euro 2000 Soccer Championships