dot.kom project full details
Timeline:01 Oct 2002 - 31 Mar 2005
Designing adaptive infOrmation exTraction from text for KnOwledge Management
DotKom aims to support knowledge management within large corporation through a combination of information extraction and knowledge management technologies. A current problem with both of these technologies is that they are hard-to-use and require extensive expertise. DotKom will provide user-friendly *adaptive* information extraction tools which give instantaneous feedback on the current status of the information extraction learning process and the automatically constructed knowledge acquisition mechanisms.
09 Oct 2002
Uren, V., Sabou, M., Motta, E., Fernández, M., Lopez, V. and Lei, Y. (2010) Reflections on Five Years of Evaluating Semantic Search Systems, International Journal of Metadata, Semantics and Ontologies (IJMSO), 5, 2, pp. 87-98
Zhu, J., Goncalves, A., Uren, V., Motta, E., Pacheco, R., Song, D. and Rueger, S. (2007) Community Relation Discovery by Named Entities, International Conference on Machine Learning and Cybernetics 2007, Hong Kong, China, IEEE
Lopez, V. and Motta, E. (2004) Ontology Driven question answering in AquaLog, 9th International Conference on Applications of Natural Language to Information Systems (NLDB 2004), Manchester, UK