Tech Reports
Tech Report kmi-07-03 Abstract
State of the art on Semantic Question Answering
Techreport ID: kmi-07-03
Date: 2007
Author(s): Vanessa Lopez, Enrico Motta, Victoria Uren, Marta Sabou
We analyze the contributions, challenges and dimensions of question answering on the Semantic Web by looking at the state of the art on semantic question answering systems, and the implications in traditional methods on ontology selection, mapping and semantic similarity measures to balance the heterogeneity and large scale semantic data with run time performance
Future Internet
KnowledgeManagementMultimedia &
Information SystemsNarrative
HypermediaNew Media SystemsSemantic Web &
Knowledge ServicesSocial Software
Social Software is...
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.
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