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  Relevance Feedback in XML Retrieval

Pan, H. (2004). Relevance Feedback in XML Retrieval. In Current trends in database technology, EDBT 2004 Workshops: EDBT 2004 Workshops PhD, DataX, PIM, P2P&DB, and ClustWeb (pp. 187-196). Berlin, Germany: Springer.

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 Creators:
Pan, Hanglin1, 2, Author           
Lindner, Wolfgang, Editor
Mesiti, Marco, Editor
Türker, Can, Editor
Tzitzikas, Yannis, Editor
Vakali, Athena, Editor
Affiliations:
1Databases and Information Systems, MPI for Informatics, Max Planck Society, ou_24018              
2International Max Planck Research School, MPI for Informatics, Max Planck Society, ou_1116551              

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 Abstract: Highly heterogeneous XML data collections that do not have a global schema, as arising, for example, in federations of digital libraries or scientific data repositories, cannot be effectively queried with XQuery or XPath alone, but rather require a ranked retrieval approach. As known from ample work in the IR field, relevance feedback provided by the user that drives automatic query refinement or expansion can often lead to improved search result quality (e.g., precision or recall). In this paper we present a framework for feedback-driven XML query refinement and address several building blocks including reweighting of query conditions and ontology-based query expansion.We point out the issues that arise specifically in the XML context and cannot be simply addressed by straightforward use of traditional IR techniques, and we present our approaches towards tackling them.

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Language(s): eng - English
 Dates: 2005-05-312004
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 231841
Other: Local-ID: C1256DBF005F876D-D84C9ABD4EC4326FC1256ED8003DB3DB-Pan2004a
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Title: Untitled Event
Place of Event: Heraklion, Crete, Greece
Start-/End Date: 2004-03-14

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Title: Current trends in database technology, EDBT 2004 Workshops : EDBT 2004 Workshops PhD, DataX, PIM, P2P&DB, and ClustWeb
Source Genre: Proceedings
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Publ. Info: Berlin, Germany : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 187 - 196 Identifier: ISBN: 3-540-23305-9

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Title: Lecture Notes in Computer Science
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Pages: - Volume / Issue: 3268 Sequence Number: - Start / End Page: - Identifier: -