DFKI-LT - Ontology-Driven Human Language Technology for Semantic-Based Business Intelligence

Thierry Declerck, Hans-Ulrich Krieger, Horacio Saggion, Marcus Spies
Ontology-Driven Human Language Technology for Semantic-Based Business Intelligence
in: Malik Ghallab, Constantine D. Spyropoulos, Nikos Fakotakis, Nikos Avouris (eds.):
2 Proceedings of the 18th European Conference on Artificial Intelligence volume 178,
Frontiers in Artificial Intelligence and Applications, Pages 841-842, Patras, Greece, IOS Press, ECCAI (European Coordinating Committee for Artificial Intelligence), 9/2008

 
In this poster submission, we describe the actual state of development of textual analysis and ontology-based information extraction in real world applications, as they are defined in the context of the European R&D project "MUSING" dealing with Business Intelligence. We present in some details the actual state of ontology development, including a time and domain ontologies, which are guiding information extraction onto an ontology population task.
 
Files: BibTeX, musing-poster-ecai.pdf