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

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 lawsuits of the seventh foreign Workshop of the Initiative for the overview of XML Retrieval, INEX 2008, held at Dagstuhl fort, Germany, in December 2008.

The target of the INEX 2008 workshop used to be to compile researchers who participated within the INEX 2008 crusade. Over the yr major as much as the development, partaking businesses contributed to the construction of a large-scale XML try assortment via growing subject matters, appearing retrieval runs, and supplying 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 long run evaluate of XML retrieval structures. The forty nine papers incorporated during this quantity document the ultimate result of INEX 2008. they've been divided into sections in keeping 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.

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Additional 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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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. Crouch, Donald B. edu Abstract. 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.

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 more clearly the component comprises the topic of the query. The components that best satisfy the user information need expressed by means of the query should be, simultaneously, as specific and exhaustive as possible.

In this work we propose a modification of the system by defining the utility in a different manner, in such a way that those components that do not contain most of the query terms are penalized more heavily. 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.

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