Active [19]
Classics [50]
Research Themes
Future Internet [5]Knowledge Management [9]
Multimedia & Information Systems [8]
Narrative Hypermedia [14]
New Media Systems [10]
Semantic Web & Knowledge Services [17]
Social Software [11]
KMi Tools
Projects | classics
classics project
DOT.KOM
Semantic Web and Knowledge Services
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.
Participant(s): John Domingue, Enrico Motta, Victoria Uren, Barry Norton and Jianhan Zhu
Project Champion: John Domingue
URL: http://kmi.open.ac.uk/projects/dotkom
External Publications
Uren, V., Sabou, M., Motta, E., Fernandez, 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
