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akt project full details

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Champion: Enrico Motta
Professor of Knowledge Technologies Email Icon Website Icon RDF Icon

Participant(s):John Domingue, Simon Buckingham Shum, Maria Vargas-Vera, Martin Dzbor, Yuangui Lei, Dnyanesh Rajpathak, Gaston Burek, Victoria Uren, Jianhan Zhu, Marta Sabou, Lucia Specia, Tom Heath

Timeline:01 Oct 2000 - 30 Sep 2006

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AKT

Advanced Knowledge Technologies

The AKT project aims to develop the next generation of knowledge technologies to support organizational knowledge management. AKT will look at all aspects of knowledge management from acquiring and maintaining knowledge to publishing and sharing it. We intend to address all these closely related issues in an integrated approach, making use of recent developments in artificial intelligence, psychology, linguistics, multimedia and Internet technology. The AKT consortium comprises five UK universities and is funded by a 7M GBP, 6-year EPSRC grant in the context of the Interdisciplinary Research Collaborations programme.

News

09 Dec 2004

John Domingue


18 Oct 2004

John Domingue


22 Sep 2003

John Domingue


30 Mar 2001

John Domingue


07 Nov 2000

John Domingue


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Publications

Publications | Visit External Site for Details Publications | doi 

Pasin, M. and Motta, E. (2011) Ontological requirements for annotation and navigation of philosophical resources, Synthese, 182, 2, pp. 235-267, Springer Netherlands

Publications | Visit External Site for Details Publications | doi 

Heath, T. and Motta, E. (2008) Revyu: Linking reviews and ratings into the Web of Data, Journal of Web Semantics, 6, 4, pp. 266-273, Elsevier

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Zhu, J., (2007) Social Search With Missing Data: Which Ranking Algorithm?, Journal of Digital Information Management special issue on Web Information Retrieval, eds. Pit.Pichappan, Keith van Rijsbergen, and Iadh Ounis, Digital Information Research Foundation

Publications | Visit External Site for Details Publications | doi 

Dzbor, M., Motta, E. and Domingue, J. (2007) Magpie: Experiences in supporting Semantic Web browsing, Journal of Web Semantics: Science, Services and Agents on the World Wide Web, 5, 3, pp. 204-222, Elsevier B.V.

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

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Research Themes

Latest Seminar
Microsoft Research Cambridge

Actions and their Consequences: Implicit Interactions with Machine Learned Knowledge Bases

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