Multimedia indexing through multi-source and multi-language information extraction: the MUMIS project

Authors:
Horacio Saggion;Hamish Cunningham;Kalina Bontcheva;Diana Maynard;Oana Hamza;Yorik Wilks
Affiliations:
Department of Computer Science, University of Sheffield, 211 Portobello Street, Sheffield SI 4DP, UK;Department of Computer Science, University of Sheffield, 211 Portobello Street, Sheffield SI 4DP, UK;Department of Computer Science, University of Sheffield, 211 Portobello Street, Sheffield SI 4DP, UK;Department of Computer Science, University of Sheffield, 211 Portobello Street, Sheffield SI 4DP, UK;Department of Computer Science, University of Sheffield, 211 Portobello Street, Sheffield SI 4DP, UK;Department of Computer Science, University of Sheffield, 211 Portobello Street, Sheffield SI 4DP, UK
Venue:
Data & Knowledge Engineering - NLDB2002
Year:
2004

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Abstract

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.