Get Advances in Focused Retrieval: 7th International Workshop of PDF

By Jaap Kamps, Shlomo Geva, Andrew Trotman, Alan Woodley, Marijn Koolen (auth.), Shlomo Geva, Jaap Kamps, Andrew Trotman (eds.)

ISBN-10: 3642037607

ISBN-13: 9783642037603

ISBN-10: 3642037615

ISBN-13: 9783642037610

This e-book constitutes the completely refereed court cases of the seventh foreign Workshop of the Initiative for the assessment of XML Retrieval, INEX 2008, held at Dagstuhl citadel, Germany, in December 2008.

The goal of the INEX 2008 workshop used to be to compile researchers who participated within the INEX 2008 crusade. Over the yr prime as much as the development, engaging companies contributed to the development of a large-scale XML try out assortment via growing issues, acting retrieval runs, and delivering relevance checks. The workshop concluded the result of this large-scale attempt, summarized and addressed the problems encountered, and devised a piece plan for the longer term assessment of XML retrieval platforms. The forty nine papers integrated during this quantity document the ultimate result of INEX 2008. they've been divided into sections in response to the seven tracks of the workshop, investigating numerous features of XML retrieval, from booklet seek to entity rating, together with interplay aspects.

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Extra resources 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

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This paper describes the integration of our methodology for the dynamic retrieval of XML elements [2] with traditional article retrieval to facilitate the Focused and the Relevant-in-Context Tasks of the INEX 2008 Ad Hoc Track. The particular problems that arise for dynamic element retrieval in working with text containing both tagged and untagged elements have been solved [3]. The current challenge involves utilizing its ability to produce a rankordered list of elements in the context of focused retrieval.

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). These probabilities represent the specificity component of each structural unit U : the more terms indexing U also belong to Q, the more probable is U.

We used gaps of size 30 for section and p elements. ) – TopX-CO-Focused-all: an element-level CO run that considered the terms in the title of a topic without phrases and negations, allowing all tags for results. 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 [3] that this gives better results for CO queries than tag-specific inverse element frequencies. Table 1 shows the official results for these runs.

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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 Jaap Kamps, Shlomo Geva, Andrew Trotman, Alan Woodley, Marijn Koolen (auth.), Shlomo Geva, Jaap Kamps, Andrew Trotman (eds.)


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