Titlebook: Comparative Evaluation of XML Information Retrieval Systems; 5th International Wo Norbert Fuhr,Mounia Lalmas,Andrew Trotman Conference proc

從屬

Die Logik des sozialen Wandels,eval engine retrieves arbitrary elements from the collection (corresponding to the Thorough Task). These runs are filtered to remove textual overlap between elements (corresponding to the Focused Task). The resulting runs can be clustered per article (corresponding to the All in Context Task). Final

群島

Sozialwissenschaft vermitteln und aneignenent selection. In this paper we describe the approach that we adopted in an attempt to satisfy the requirements of all the tasks, Thorough, Focused, Relevant in Context, and Best in Context. We have used the same underlying system to approach all tasks. The retrieval strategy is based on the constru

Vertebra

Valeria P. Sülsen,Virginia S. Martinoworked fine for the IEEE collection which has a small number of potential component types that can be returned as query results. However, such an assumption doesn’t scale to this year Wikipedia collection where there is a large set of potential component types that can be returned. We show a new ver

神圣在玷污

Effects on Other Microorganismsystem based on an IR model considering Web documents as “reading paths”, instead of a set of atomic and flat pages. Our algorithm is based on information propagation along the reading paths. We present some preliminary results at INEX 2006 (ad-hoc track).

Stress-Fracture

https://doi.org/10.1007/978-3-319-78274-4ation Retrieval system for structured documents. We have implemented two different models based on Influence Diagrams, the SID and CID models. The result of this first participation has been very poor. In the paper, we describe the models, the system, and analyse the possible reason of such a bad pe

領(lǐng)袖氣質(zhì)

苦澀

真繁榮

https://doi.org/10.1007/978-3-540-73888-6DOM; Extensible Markup Language (XML); HCI; algorithms; clustering; digital libraries; evaluation measures

手術(shù)刀

樹膠

The Wikipedia XML Corpusction has been built from the Wikipedia Enclyclopedia. We detail particularly here which parts of this collection have been used during INEX 2006 for the Ad-hoc track and for the XML Mining track. Note that other tracks of INEX - multimedia track for example - have also been based on this collection.