By Jaap Kamps, Shlomo Geva, Andrew Trotman, Alan Woodley, Marijn Koolen (auth.), Shlomo Geva, Jaap Kamps, Andrew Trotman (eds.)
This booklet constitutes the completely refereed court cases of the seventh foreign Workshop of the Initiative for the overview of XML Retrieval, INEX 2008, held at Dagstuhl citadel, Germany, in December 2008.
The goal of the INEX 2008 workshop was once to assemble researchers who participated within the INEX 2008 crusade. Over the 12 months top as much as the development, engaging firms contributed to the construction of a large-scale XML try out assortment through growing issues, acting retrieval runs, and delivering relevance exams. The workshop concluded the result of this large-scale attempt, summarized and addressed the problems encountered, and devised a piece plan for the long run review of XML retrieval platforms. The forty nine papers integrated during this quantity record the ultimate result of INEX 2008. they've been divided into sections in line with the seven tracks of the workshop, investigating a variety of features of XML retrieval, from publication seek to entity score, together with interplay aspects.
Read or Download Advances in Focused Retrieval: 7th International Workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2008, Dagstuhl Castle, Germany, December 15-18, 2008. Revised and Selected Papers PDF
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Extra info for Advances in Focused Retrieval: 7th International Workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2008, Dagstuhl Castle, Germany, December 15-18, 2008. Revised and Selected Papers
By deﬁning a parametric model, it is possible to adjust the degree of utility to make the system behave more similarly to a strict AND (if not all or almost all the query terms are in the considered component, this one will be scarcely relevant) or to a less strict AND. 2 Utility Models in the Garnata System As we focus in this work on the utility component of the Garnata system, we will not enter into details of the Bayesian network model representing the document collection. This model is able to eﬃciently compute the posterior probabilities of relevance of all the structural units U of all the documents, given a query Q, p(U |Q).
Table 3. 6561 Table 4. 3 Ad Hoc Retrieval-in-Context Task The RiC results are produced using the elements produced by the Focused task and grouping them by article. Results are reported in document-rank order. 1415 at n = 250, m = 4000 (rank 9 for the 2007 rankings). ) 2008 RiC results are shown in Table 6. 1771 (which would rank at 15 for 2008). 1783 at n = 500, m = 2000) across the table; it is not shown here. 1723 and ranked 18. Table 5. 1405 Table 6. 4 Ad Hoc Best-in-Context Task Finding the Best Entry Point (BEP) is a task which is not related to focused retrieval.
Note that, unlike our runs in previous years, we did not use a tagspeciﬁc ief score, but a single global ief value per term; we demonstrated in  that this gives better results for CO queries than tag-speciﬁc inverse element frequencies. Table 1 shows the oﬃcial results for these runs. It is evident that element-level retrieval generally yields a higher early precision than article-level retrieval, but Table 1. 1857 32 A. Broschart, R. Schenkel, and M. Theobald the quality quickly falls behind that of article-level retrieval.