DFKI-LT - Ontology-Driven Human Language Technology for Semantic-Based Business Intelligence
Ontology-Driven Human Language Technology for Semantic-Based Business Intelligence
2 Proceedings of the 18th European Conference on Artificial Intelligence volume 178,
Frontiers in Artificial Intelligence and Applications,
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