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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We focus on content-based information retrieval over a wide range of data spanning form unstructured text and unlabelled images over spoken documents and music to videos. This encompasses the modelling of human perception of relevance and similarity, the learning from user actions and the up-to-date presentation of information. Currently we are building a research version of an integrated multimedia information retrieval system MIR to be used as a research prototype. We aim for a system that understands the user's information need and successfully links it to the appropriate information sources, be it a report or a TV news clip. This work is guided by the vision that an automated knowledge extraction system ultimately empowers people making efficient use of information sources without the burden of filing data into specialised databases.
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