People | Alumni | Bertrand SerenoResearch Student
I am interested in finding a way to assist the extraction of
claims from the scholarly literature. My work is connected with both the study of the way researchers argue in their documents and the information extraction techniques.
Keys: argumentation, information extraction
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
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)
Sereno, B., Buckingham Shum, S. and Motta, E. (2005) ClaimSpotter: An Environment to Support Sensemaking with Knowledge Triples, ACM Conference on Intelligent User Interfaces, San Diego, California Proceedings of IUI'05: ACM Conference on Intelligent User Interfaces Technical report http://kmi.open.ac.uk/publications/pdf/kmi-04-29.p
Sereno, B., Buckingham Shum, S. and Motta, E. (2004) From scholarly documents to interpretative claims: an approach to bridge the formalisation gulf, European Semantic Web Symposium, Heraklion, Greece
Sereno, B., Buckingham Shum, S. and Motta, E. (2004) Semantic annotation support in the absence of consensus, First European Semantic Web Symposium, ESWS 2004, Heraklion, Crete, Greece The Semantic Web: Research and Applications - Lecture Notes in Computer Science, eds. Christoph Bussler, John Davies, Dieter Fensel and Rudi Studer, pp. 357-371, Springer Verlag
A Document-Centric Semantic Annotation Environment to Support Sense-Making
Techreport ID: KMI-06-13
Author(s): Bertrand Sereno
Modelling Naturalistic Argumentation in Research Literatures: Representation and Interaction Design Issues
Techreport ID: kmi-04-28
Author(s): Simon J. Buckingham Shum, Victoria Uren, Gangmin Li, Bertrand Sereno, Clara Mancini
ClaimSpotter: an Environment to Support Sensemaking with Knowledge Triples
Techreport ID: kmi-04-29
Author(s): Bertrand Sereno, Simon Buckingham Shum, Enrico Motta
Semantic Annotation Support in the Absence of Consensus
Techreport ID: kmi-04-01
Author(s): Bertrand Sereno, Victoria Uren, Simon Buckingham Shum, Enrico Motta
Interfaces for Capturing Interpretations of Research Literature
Techreport ID: kmi-03-06
Author(s): Victoria Uren, Bertrand Sereno, Simon Buckingham Shum, Gangmin Li
HypermediaNew Media SystemsSemantic Web &
Knowledge ServicesSocial Software
Semantic Web and Knowledge Services is...
Our research in the Semantic Web area looks at the potentials of fusing together advances in a range of disciplines, and applying them in a systemic way to simplify the development of intelligent, knowledge-based web services and to facilitate human access and use of knowledge available on the web. For instance, we are exploring ways in which tnatural language interfaces can be used to facilitate access to data distributed over different repositories. We are also developing infrastructures to support rapid development and deployment of semantic web services, which can be used to create web applications on-the-fly. We are also investigating ways in which semantic technology can support learning on the web, through a combination of knowledge representation support, pedagogical theories and intelligent content aggregation mechanisms. Finally, we are also investigating the Semantic Web itself as a domain of analysis and performing large scale empirical studies to uncover data about the concrete epistemologies which can be found on the Semantic Web. This exciting new area of research gives us concrete insights on the different conceptualizations that are present on the Semantic Web by giving us the possibility to discover which are the most common viewpoints, which viewpoints are mutually inconsistent, to what extent different models agree or disagree, etc...
Our aim is to be at the forefront of both theoretical and practical developments on the Semantic Web not only by developing theories and models, but also by building concrete applications, for a variety of domains and user communities, including KMi and the Open University itself.