Download PDF by Jaap Kamps, Shlomo Geva, Andrew Trotman, Alan Woodley,: Advances in Focused Retrieval: 7th International Workshop of

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 publication constitutes the completely refereed complaints of the seventh overseas Workshop of the Initiative for the evaluate of XML Retrieval, INEX 2008, held at Dagstuhl fort, Germany, in December 2008.

The target of the INEX 2008 workshop used to be to collect researchers who participated within the INEX 2008 crusade. Over the 12 months top as much as the development, engaging enterprises contributed to the development of a large-scale XML try assortment by means of growing themes, acting retrieval runs, and offering relevance tests. 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 evaluate 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 number of elements of XML retrieval, from booklet seek to entity rating, together with interplay aspects.

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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

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Garnata has already been tested at two editions of the INEX Workshop [4,6], and its theoretical basis is explained in more detail in [1,2]. Garnata computes the relevance degree of each component or structural unit in a document by combining two different types of information. On the one hand, the specificity of the component with respect to the query: the more terms in the component appear in the query, the more relevant becomes the component, that is to say, the more clearly the component is only about (at least a part of) the topic of the query.

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. Our system is based on the Vector Space Model [8]; basic functions are performed using the Smart experimental retrieval system [7]. Experimental results are reported for the Focused, Relevant-in-Context, and Best-in-Context Tasks of both the 2007 and 2008 INEX Ad Hoc Tracks.

So, all but two of the runs retrieve only articles. Hence, this is not sufficient evidence to warrant any conclusion on the effectiveness of passage level results. We hope and expect that the test collection and the passage runs will be used for further research into the relative effectiveness of element and passage retrieval approaches. 20 J. Kamps et al. Table 11. CAS query target elements over all 135 topics Target Element Frequency ∗ 51 section 39 article 30 p 11 figure 3 body 1 Table 12. 0128 CO versus CAS We now look at the relative effectiveness of the keyword (CO) and structured (CAS) queries.

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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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