We describe our work on information extraction from multiple sources for the Multimedia Indexing and Searching Environment,
a project aiming at developing technology to produce formal annotations about essential events in multimedia programme material.
The creation of a composite index from multiple and multi-lingual sources is a unique aspect of this project. The domain chosen
for tuning the software components and testing is football. Our information extraction system is based on the use of finite
state machinery pipelined with full semantic analysis and discourse interpretation.
MUMIS is an on-going EU-funded project within the Information Society Program (IST) of the European Union, section Human Language
Technology (HLT). Project participants are: University of Twente/CTIT, University of Sheffield, University of Nijmegen, Deutsches
Forschungszentrum für Künstliche Intelligenz, Max-Planck- Institut für Psycholinguistik, ESTEAM AB, and VDA.