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Author, Editor

Author(s):

Schenkel, Ralf
Theobald, Martin

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Editor(s):

Fuhr, Norbert
Lalmas, Mounia
Malik, Saadia
Kazai, Gabriella

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dblp
dblp
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Not MPII Editor(s):

Fuhr, Norbert
Lalmas, Mounia
Malik, Saadia
Kazai, Gabriella

BibTeX cite key*:

SchenkelT05

Title, Booktitle

Title*:

Relevance Feedback for Structural Query Expansion


SchenkelT06-INEX.pdf (370.61 KB)

Booktitle*:

Advances in XML Information Retrieval and Evaluation, 4th International Workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2005

Event, URLs

URL of the conference:

http://inex.is.informatik.uni-duisburg.de/2005/index.html

URL for downloading the paper:

http://www.springerlink.com/content/v24r5734g7461617/fulltext.pdf

Event Address*:

Dagstuhl Castle, Germany

Language:

English

Event Date*
(no longer used):


Organization:


Event Start Date:

28 November 2005

Event End Date:

30 November 2005

Publisher

Name*:

Springer

URL:


Address*:

Berlin, Germany

Type:


Vol, No, Year, pp.

Series:

Lecture Notes in Computer Science

Volume:

3977

Number:


Month:


Pages:

344-357

Year*:

2006

VG Wort Pages:

32

ISBN/ISSN:

3-540-34962-6;
978-3-540-34962-4;
ISSN: 0302-9743

Sequence Number:


DOI:




Note, Abstract, ©


(LaTeX) Abstract:

Keyword-based queries are an important means to retrieve information from XML collections with unknown or complex schemas. Relevance Feedback integrates relevance information provided by a user to enhance retrieval quality. For keyword-based XML queries, feedback engines usually generate an expanded keyword query from the content of elements marked as relevant or nonrelevant. This approach that is inspired by text-based IR completely ignores the semistructured nature of XML. This paper makes the important step from pure content-based to structural feedback. It presents two independent approaches that include structural dimensions in a feedback-driven query evaluation: The first approach reranks the result list of a keyword-based search engine, using structural features derived from results with known relevance. The second approach expands a keyword query into a full-fledged content-and-structure query with weighted conditions.

URL for the Abstract:

http://dx.doi.org/10.1007/11766278_26



Download
Access Level:

Public

Correlation

MPG Unit:

Max-Planck-Institut für Informatik



MPG Subunit:

Databases and Information Systems Group

Audience:

Expert

Appearance:

MPII WWW Server, MPII FTP Server, MPG publications list, university publications list, working group publication list, Fachbeirat, VG Wort



BibTeX Entry:

@INPROCEEDINGS{SchenkelT05,
AUTHOR = {Schenkel, Ralf and Theobald, Martin},
EDITOR = {Fuhr, Norbert and Lalmas, Mounia and Malik, Saadia and Kazai, Gabriella},
TITLE = {Relevance Feedback for Structural Query Expansion},
BOOKTITLE = {Advances in XML Information Retrieval and Evaluation, 4th International Workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2005},
PUBLISHER = {Springer},
YEAR = {2006},
VOLUME = {3977},
PAGES = {344--357},
SERIES = {Lecture Notes in Computer Science},
ADDRESS = {Dagstuhl Castle, Germany},
ISBN = {3-540-34962-6},
; ISBN = {
978-3-540-34962-4},
; ISBN = {
ISSN: 0302-9743},
}


Entry last modified by Christine Kiesel, 02/13/2007
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Editor(s)
Adriana Davidescu
Created
08/10/2006 01:36:00 PM
Revisions
5.
4.
3.
2.
1.
Editor(s)
Christine Kiesel
Christine Kiesel
Adriana Davidescu
Adriana Davidescu
Adriana Davidescu
Edit Dates
13.02.2007 22:41:59
13.02.2007 17:35:00
30.10.2006 11:02:25
23.08.2006 09:48:41
10.08.2006 13:47:15
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