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Titlebook: Advances in XML Information Retrieval; Third International Norbert Fuhr,Mounia Lalmas,Zoltán Szlávik Conference proceedings 2005 Springer-

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Hybrid XML Retrieval Revisitedr reports on the participation of the RMIT group in the INEX 2004 ad hoc track, where we investigate different aspects of the XML retrieval task. Our preliminary analysis of CO and VCAS relevance assessments identifies three XML retrieval scenarios: ., . and .. Further analysis of the relevance asse
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Analyzing the Properties of XML Fragments Decomposed from the INEX Document Collectionagments is huge, so this adversely affects the index construction time and query processing time of the XML fragment retrieval systems if they cannot extract only the answer XML fragments with certainty. In this paper, we propose a method for determining XML fragments that are appropriate in keyword
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Mixture Models, Overlap, and Structural Hints in XML Element Retrievalnow implemented as a mixture language model on top of a standard search engine. To speed up structural reasoning, we indexed the collection’s structure in a separate database. Our main findings are as follows. First, we show that blind feedback improves retrieval effectiveness, but increases overlap
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Ranked Retrieval of Structured Documents with the S-Term Vector Space Modelnhance both the effectiveness of the model and the retrieval efficiency. We explain in detail how previous work on ranked and exact retrieval can be integrated and optimized, and which adaptions are necessary. Our approach is evaluated experimentally at the INEX workshop 2004 [2]. The results are en
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William Michelson,Eleanor J. Tilson element performs best. In both CO and VCAS cases, runs that implement the retrieval heuristic that favours less specific over more specific answer elements produce most effective retrieval. Importantly, we present results which show that, for the General retrieval scenario where users prefer less s
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The Utrecht Blend: Basic Ingredients for an XML Retrieval Systemthe distribution of terms is related to the semantical structure of the document. However, we observed that the IEEE collection is not a good example of semantic tagging..The third approach investigates how the performance of the retrieval system can improve for the ’Content Only’ task by using a se
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