This project focuses in research and developement for novel access to information in digital libraries. These digital libraries store information from diferent topics. The person who uses it can find files by keywords or by topics.
In DILIA there will be different methods for finding files.On the one hand, users will be guided by allowing them to visually investigate relevant search result sets. On the other hand, methods will be developed to extract crossed links and semantic relations from a document set selected by the user..
The DiLiA project will realize the following innovative aspects that are combined in the given way for the first time:
- Investigation, supply and adaptation of the contents of a real digital library for interactive information extraction
- Hybrid information extraction based on a combination of metadata and document processing
- Development of domain-adaptive deep methods for information extraction using the example of biomedical documents
- Prototypical development of interactive personalized navigation allowing the user of the digital library an intuitive multimodal search.
REFERENCES
- DILIA, the intelligent library assistant in German Research Center for Artificial Intelligence. Retrieved 15 June 2009 from http://www.dfki.de/lt//project.php?id=Project_447&l=en
