Titlebook: Advances in XML Information Retrieval; Third International Norbert Fuhr,Mounia Lalmas,Zoltán Szlávik Conference proceedings 2005 Springer-

GILD

Teng-Fei Wang,Kevin Cullinane,Dong-Wook Songt is not sufficiently expressive enough for the heterogeneous track, or for question answering. The syntax necessary to extend to these purposes is proposed. This includes weighted terms and weighted paths. The new syntax is strictly an extension so does not invalidate any existing queries.

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Dirk Briskorn,Andreas Drexl,S?nke Hartmannster-Shafer theory of evidence to estimate the confidence in that element. The second approach “DS-propagate” first applies the Dempster-Shafer theory of evidence to combine the evidences and then propagates the combined confidence to the parent element. The second approach performs relatively better than the first approach.

N斯巴達(dá)人

Richard H. Egdahl,Diana Chapman Walshyzes statistical information of XML fragments based on a technique of the dynamics of terminology in quantitative linguistics. Moreover, our keyword-based XML fragment retrieval system runs on a relational database system. In this paper, we briefly explain the implementation of our system.

Foolproof

Contributions to Management ScienceXML retrieval system needs not only to find relevant information in the XML documents, but also determine the appropriate level of granularity to return to the user, and this with respect to both content and structural conditions.

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Keratin

沒(méi)有貧窮

Prudential Insurance Company of Americakeyword based and is built upon an XML inverted file system. We describe the approach that was adopted to meet the requirements of Content Only (CO) and Vague Content and Structure (VCAS) queries in INEX 2004.

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Amnesty

William Michelson,Eleanor J. Tilson, however, useful for achieving high initial precision. Finally, we provide a detailed analysis of the characteristics of one of our runs. Based on this analysis we argue that a more explicit definition of the INEX retrieval tasks is needed.

cloture

IR of XML Documents – A Collective Ranking Strategyere ranked in terms of performance. This paper presents a Collective Ranking Strategy that outperforms all search engines it is based on. Moreover it provides a system that is trying to facilitate the ranking of participating search engines.