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dot.kom project full details

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Champion: John Domingue
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Participant(s):Enrico Motta, Victoria Uren, Barry Norton, Jianhan Zhu

Timeline:01 Oct 2002 - 31 Mar 2005

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DOT.KOM

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.

News

09 Oct 2002

John Domingue


Publications

Publications | Visit External Site for Details  

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

Publications | Visit External Site for Details  

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

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Research Themes

Jobs

Marie Curie Early Stage Researcher

Knowledge Media Institute (KMi)
£45,463 per year plus allowances
Based in Milton Keynes
Full-time, Fixed-term contract for 36 months

The Knowledge Media Institute invites applications for an Early Stage Researcher to work in the area of bias in Artificial Intelligence. The researcher will work within the interdisciplinary...

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The Open University
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