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powermagpie technology full details

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

Participant(s):Martin Dzbor, Vanessa Lopez, Marta Sabou, Mathieu d'Aquin, Sofia Angeletou, Fouad Zablith, Laurian Gridinoc, Tom Heath, Davide Guidi

Timeline:01 Oct 2006

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PowerMagpie

A semantically-enhanced web browser

PowerMagpie is a new generation semantically-enhanced web browser, which is able to dynamically identify and bring into a web browsing session any available semantic markup, which can be found on the Semantic Web.

In contrast with previous systems, such as Magpie, which can only use information from a specific, pre-selected ontology, PowerMagpie accesses the whole of the Semantic Web through the Watson gateway and intelligently selects and presents to the user relevant information, drawn from millions of existing semantic web documents.

As a result, PowerMagpie avoids the brittleness of earlier semantic browsers and defines a novel, very powerful approach to web browsing in the age of the Semantic Web.

Publications

Publications | Download PDF Publications | Visit External Site for Details  

d'Aquin, M., Sabou, M., Motta, E., Angeletou, S., Gridinoc, L., Lopez, V. and Zablith, F. (2008) What can be done with the Semantic Web? An Overview of Watson-based Applications, 5th Workshop on Semantic Web Applications and Perspectives, SWAP 2008, Rome, Italy

Publications | Download PDF Publications | Visit External Site for Details  

d'Aquin, M., Motta, E., Sabou, M., Angeletou, S., Gridinoc, L., Lopez, V. and Guidi, D. (2008) Towards a New Generation of Semantic Web Applications, IEEE Intelligent Systems, 23, 3, pp. 20-28

Publications | Download PDF Publications | Visit External Site for Details  

d'Aquin, M., Motta, E., Dzbor, M., Gridinoc, L., Heath, T. and Sabou, M. (2008) Collaborative Semantic Authoring, IEEE Intelligent Systems, 23, 3, pp. 80-83

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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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