By Jaap Kamps, Shlomo Geva, Andrew Trotman, Alan Woodley, Marijn Koolen (auth.), Shlomo Geva, Jaap Kamps, Andrew Trotman (eds.)
This e-book constitutes the completely refereed complaints of the seventh foreign Workshop of the Initiative for the overview of XML Retrieval, INEX 2008, held at Dagstuhl fortress, 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 best as much as the development, engaging enterprises contributed to the development of a large-scale XML try assortment by way of developing subject matters, 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 longer term review of XML retrieval structures. The forty nine papers integrated during this quantity record the ultimate result of INEX 2008. they've been divided into sections based on the seven tracks of the workshop, investigating quite a few points of XML retrieval, from ebook seek to entity rating, together with interplay aspects.
Read Online 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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Additional 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
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. The Bayesian network is then enlarged by including decision variables RU , representing the possible alternatives available to the decision maker (retrieve unit U ), and utility variables VU , thus transforming it into an inﬂuence diagram.
4956, pp. 346–357. Springer, Heidelberg (2008) Finding Good Elements for Focused Retrieval Carolyn J. Crouch, Donald B. edu Abstract. This paper describes the integration of our methodology for the dynamic retrieval of XML elements  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 .
Trotman, A. ) INEX 2007. LNCS, vol. 4862, pp. 49–56. : Term proximity scoring for ad-hoc retrieval on very large text collections. In: SIGIR, pp. : Eﬀective document presentation with a locality-based similarity heuristic. In: SIGIR, pp. : Term proximity scoring for keyword-based retrieval systems. In: Sebastiani, F. ) ECIR 2003. LNCS, vol. 2633, pp. 207–218. : Viewing term proximity from a diﬀerent perspective. W. ) ECIR 2008. LNCS, vol. 4956, pp. 346–357. Springer, Heidelberg (2008) Finding Good Elements for Focused Retrieval Carolyn J.