XML retrieval and evaluation: the INEX experience
This event took place on Thursday 17 November 2005 at 12:30
Dr. Mounia Lalmas Yahoo! Research, Barcelona
Providing effective access to XML-based content is what XML retrieval research is about. XML retrieval systems aim to exploit the logical structure of documents, which is explicitly represented by the XML markup, to retrieve document components instead of whole documents in response to a user's query. Implementing this more focused retrieval paradigm means that an XML retrieval system needs not only to find relevant information in the XML documents, but also determine the appropriate level of component granularity to return to the user.
This talk will discuss the issues involved in returning the appropriate level of component granularity to the user, the approaches developed to provide this more focussed retrieval, and the evaluation methodology followed by INEX, the Evaluation Initiative for XML Retrieval, to evaluate the retrieval effectiveness of these approaches.
Related links:
INEX 2005.
This event took place on Thursday 17 November 2005 at 12:30
Providing effective access to XML-based content is what XML retrieval research is about. XML retrieval systems aim to exploit the logical structure of documents, which is explicitly represented by the XML markup, to retrieve document components instead of whole documents in response to a user's query. Implementing this more focused retrieval paradigm means that an XML retrieval system needs not only to find relevant information in the XML documents, but also determine the appropriate level of component granularity to return to the user.
This talk will discuss the issues involved in returning the appropriate level of component granularity to the user, the approaches developed to provide this more focussed retrieval, and the evaluation methodology followed by INEX, the Evaluation Initiative for XML Retrieval, to evaluate the retrieval effectiveness of these approaches.
Related links:
INEX 2005.
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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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