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People | Alumni | Bertrand Sereno

Research 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

5 Most Recent External 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 | Visit External Site for Details

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

Publications | Visit External Site for Details Publications | doi

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

View all 6 publications

5 Most Recent Tech Reports


A Document-Centric Semantic Annotation Environment to Support Sense-Making
Techreport ID: KMI-06-13
Date: 2006
Author(s): Bertrand Sereno
View Abstract Download PDF


Modelling Naturalistic Argumentation in Research Literatures: Representation and Interaction Design Issues
Techreport ID: kmi-04-28
Date: 2004
Author(s): Simon J. Buckingham Shum, Victoria Uren, Gangmin Li, Bertrand Sereno, Clara Mancini
View Abstract Download PDF


ClaimSpotter: an Environment to Support Sensemaking with Knowledge Triples
Techreport ID: kmi-04-29
Date: 2004
Author(s): Bertrand Sereno, Simon Buckingham Shum, Enrico Motta
View Abstract Download PDF


Semantic Annotation Support in the Absence of Consensus
Techreport ID: kmi-04-01
Date: 2004
Author(s): Bertrand Sereno, Victoria Uren, Simon Buckingham Shum, Enrico Motta
View Abstract Download PDF


Interfaces for Capturing Interpretations of Research Literature
Techreport ID: kmi-03-06
Date: 2003
Author(s): Victoria Uren, Bertrand Sereno, Simon Buckingham Shum, Gangmin Li
View Abstract Download PDF

 
 
Knowledge Media Institute | The Open University | Juan Carlos Sereno Event | SSSW 2013, The 10th Summer School on Ontology Engineering and the Semantic Web Journal | 25 years of knowledge acquisition
 

Social Software is...


Social Software
Social Software can be thought of as "software which extends, or derives added value from, human social behaviour - message boards, musical taste-sharing, photo-sharing, instant messaging, mailing lists, social networking."

Interacting with other people not only forms the core of human social and psychological experience, but also lies at the centre of what makes the internet such a rich, powerful and exciting collection of knowledge media. We are especially interested in what happens when such interactions take place on a very large scale -- not only because we work regularly with tens of thousands of distance learners at the Open University, but also because it is evident that being part of a crowd in real life possesses a certain 'buzz' of its own, and poses a natural challenge. Different nuances emerge in different user contexts, so we choose to investigate the contexts of work, learning and play to better understand the trade-offs involved in designing effective large-scale social software for multiple purposes.