Tech Reports
Tech Report kmi-03-08 Abstract
A Question-Answering System Using Argumentation
Techreport ID: kmi-03-08
Date: 2003
Author(s): Emanuela Moreale, Maria Vargas-Vera
This paper presents a novel approach to question answering: the use of argumentation techniques. Our question answering system deals with argumentation in student essays: it sees an essay as an answer to a question and gauges its quality on the basis of the argumentation found in it. Thus, the system looks for expected types of argumentation in essays (i.e. the expectation is that the kind of argumentation in an essay is correlated to the type of question). Another key feature of our work is our proposed categorisation for argumentation in student essays, as opposed to categorisation of argumentation in research papers, where - unlike the case of student essays - it is relatively well-known which kind of argumentation can be found in specific sections.
Future Internet
KnowledgeManagementMultimedia &
Information SystemsNarrative
HypermediaNew Media SystemsSemantic Web &
Knowledge ServicesSocial Software
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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.
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