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

館長(zhǎng)

Hybrid XML Retrieval Revisited element performs best. In both CO and VCAS cases, runs that implement the retrieval heuristic that favours less specific over more specific answer elements produce most effective retrieval. Importantly, we present results which show that, for the General retrieval scenario where users prefer less s

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Conference proceedings 2005test suites, and appropriate measurements for evaluating the performance of information retrieval systems that aim at giving effective access to XML content. More precisely, the goal of the INEX initiative is to provide means, in the form of a large XML test collection and appropriate scoring method

地殼

neoplasm

有花

Logic-Based XML Information Retrieval for Determining the Best Element to Retrievester-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.

Perigee

Analyzing the Properties of XML Fragments Decomposed from the INEX Document Collectionyzes 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.

epidermis

Overview of INEX 2004XML 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.

chassis

誓言

Component Ranking and Automatic Query Refinement for XML Retrieval the Mean Average Precision over the previous algorithm. We then describe a general mechanism to apply known Query Refinement algorithms from traditional IR on top of this component ranking algorithm and demonstrate an example such algorithm that achieved top results in INEX’04.

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