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Titlebook: Advances in XML Information Retrieval and Evaluation; 4th International Wo Norbert Fuhr,Mounia Lalmas,Gabriella Kazai Conference proceeding

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,GPX – Gardens Point XML IR at INEX 2005,tisfy the requirements of all the tasks, CAS and CO, in Thorough, Focused, and Fetch Browse mode, using the same underlying system The retrieval approach is based on the construction of a collection sub-tree, consisting of all nodes that contain one or more of the search terms. Nodes containing sear
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Implementation of a High-Speed and High-Precision XML Information Retrieval System on Relational Daa relational XML database system that has been developed in our research group. When a query is processed, a large number of fragments are retrieved, because a single XML document usually contains many XML fragments. Keeping all XML fragments degrades retrieval precision and increases query processi
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Partitioning of Volatile Compoundse this new function and our experimental method in detail, and then show how we tuned weights for our selected fields by using INEX 2004 topics and assessments. Based on the tuned models we submitted our runs for CO.Thorough, CO.FetchBrowse, the methods we propose show real promise. Existing problems and future work are also discussed.
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TIJAH Scratches INEX 2005: Vague Element Selection, Image Search, Overlap, and Relevance Feedback, selection of XML elements and image retrieval. All three levels (conceptual, logical, and physical) of the TIJAH system are enhanced to support the extensions. Additionally, we analyze different ways of removing overlap and explain how structural information can be used for relevance feedback.
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