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Web Developer
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My research interests are: Agent and multi-agent system technology

applied in Knowledge Engineering; Human Computer Interaction;

Visual Representation Knowledge base.

Keys: Knowledge Engineering, Agent & Multi-Agent Systems, Web Based Systems

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Publications

Publications | Visit External Site for Details  

Buckingham Shum, S., Uren, V., Li, G., Sereno, B. and Mancini, C. (2007) Modelling Naturalistic Argumentation in Research Literatures: Representation and Interaction Design Issues, International Journal of Intelligent Systems, (Special Issue on Computational Models of Natural Argument), 22, 1, pp. 17-47, kmi Technical report 04-28

Publications | Download PDF Publications | Visit External Site for Details  

Buckingham Shum, S., Uren, V., Li, G., Sereno, B. and Mancini, C. (2006) Modelling Naturalistic Argumentation in Research Literatures: Representation and Interaction Design Issues, International Journal of Intelligent Systems (Special issue on Computational Models of Natural Argument)

Publications | Download PDF Publications | Visit External Site for Details  

Uren, V., Buckingham Shum, S., Bachler, M. and Li, G. (2006) Sensemaking Tools for Understanding Research Literatures: Design, Implementation and User Evaluation, International Journal of Human Computer Studies, 64, 5, pp. 420-445

Publications | Visit External Site for Details  

Buckingham Shum, S., Uren, V., Mancini, C. and Li, G. (2004) Computer Supported Collaborative Modelling of Naturalistic Argumentation in Research Literatures, Workshop: Computational Models of Natural Argument at European Conference on Artificial Intelligence, Valencia, Spain

Publications | Download PDF Publications | Visit External Site for Details  

Uren, V., Buckingham Shum, S., Mancini, C. and Li, G. (2004) Modelling Naturalistic Argumentation in Research Literatures, Workshop: 4th Workshop on Computational Models of Natural Argument at ECAI 2004, Valencia, Spain

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Latest Seminar
Microsoft Research Cambridge

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

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