review-article

Report on INEX 2012

Pages 50 - 59

Published: 21 December 2012 Publication History

Abstract

INEX investigates focused retrieval from structured documents by providing large test collections of structured documents, uniform evaluation measures, and a forum for organizations to compare their results. This paper reports on the INEX'12 evaluation campaign, which consisted of a five tracks: Linked Data, Relevance Feedback, Snippet Retrieval, Social Book Search, and Tweet Contextualization. INEX'12 was an exciting year for INEX in which we joined forces with CLEF and for the first time ran our workshop as part of the CLEF labs in order to facilitate knowledge transfer between the evaluation forums.

References

[1]

T. Chappell and S. Geva. Overview of the INEX 2012 relevance feedback track. In Geva et al. {2}.

Google Scholar

[2]

S. Geva, J. Kamps, and R. Schenkel, editors. Focused Access to Content, Structure and Context: 11th International Workshop of the Initiative for the Evaluation of XML Retrieval (INEX'12), LNCS. Springer, 2013.

Google Scholar

[3]

M. Koolen, G. Kazai, J. Kamps, M. Preminger, A. Doucet, and M. Landoni. Overview of the INEX 2012 social book search track. In Geva et al. {2}.

Google Scholar

[4]

E. Sanjuan, V. Moriceau, X. Tannier, P. Bellot, and J. Mothe. Overview of the INEX 2012 tweet contextualization track. In Geva et al. {2}.

Google Scholar

[5]

R. Schenkel, F. M. Suchanek, and G. Kasneci. YAWN: A semantically annotated Wikipedia XML corpus. In 12. GI-Fachtagung für Datenbanksysteme in Business, Technologie und Web (BTW 2007), pages 277--291, 2007.

Google Scholar

[6]

M. Trappett, S. Geva, A. Trotman, F. Scholer, and M. Sanderson. Overview of the INEX 2012 snippet retrieval track. In Geva et al. {2}.

Google Scholar

[7]

Q. Wang, J. Kamps, G. Ramírez, M. Marx, A. Schuth, M. Theobald, S. Gurajada, and A. Mishra. Overview of the INEX 2012 data centric track. In Geva et al. {2}.

Google Scholar

Cited By

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Ullah IAlam SAli ZKhan MJabeen FKhusro S(2023)On the current state of query formulation for book searchArtificial Intelligence Review10.1007/s10462-023-10483-756:10(12085-12130)Online publication date: 1-Oct-2023
https://dl.acm.org/doi/10.1007/s10462-023-10483-7
Kamps JKoolen MGeva SSchenkel RSanJuan EBogers T(2019)From XML Retrieval to Semantic Search and BeyondInformation Retrieval Evaluation in a Changing World10.1007/978-3-030-22948-1_17(415-437)Online publication date: 14-Aug-2019
https://doi.org/10.1007/978-3-030-22948-1_17
Di Buccio EMelucci MMoro F(2018)Detecting verbose queries and improving information retrievalInformation Processing and Management: an International Journal10.1016/j.ipm.2013.09.00350:2(342-360)Online publication date: 30-Dec-2018
https://dl.acm.org/doi/10.1016/j.ipm.2013.09.003
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Report on INEX 2012
1. General and reference

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Published In

ACM SIGIR Forum Volume 46, Issue 2

December 2012

109 pages

ISSN:0163-5840

DOI:10.1145/2422256

Issue’s Table of Contents

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Association for Computing Machinery

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Publication History

Published: 21 December 2012

Published in SIGIR Volume 46, Issue 2

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Cited By

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Ullah IAlam SAli ZKhan MJabeen FKhusro S(2023)On the current state of query formulation for book searchArtificial Intelligence Review10.1007/s10462-023-10483-756:10(12085-12130)Online publication date: 1-Oct-2023
https://dl.acm.org/doi/10.1007/s10462-023-10483-7
Kamps JKoolen MGeva SSchenkel RSanJuan EBogers T(2019)From XML Retrieval to Semantic Search and BeyondInformation Retrieval Evaluation in a Changing World10.1007/978-3-030-22948-1_17(415-437)Online publication date: 14-Aug-2019
https://doi.org/10.1007/978-3-030-22948-1_17
Di Buccio EMelucci MMoro F(2018)Detecting verbose queries and improving information retrievalInformation Processing and Management: an International Journal10.1016/j.ipm.2013.09.00350:2(342-360)Online publication date: 30-Dec-2018
https://dl.acm.org/doi/10.1016/j.ipm.2013.09.003
Temnikova IVieweg SCastillo CGangemi ALeonardi SPanconesi A(2015)The Case for Readability of Crisis Communications in Social MediaProceedings of the 24th International Conference on World Wide Web10.1145/2740908.2741718(1245-1250)Online publication date: 18-May-2015
https://dl.acm.org/doi/10.1145/2740908.2741718
Bellot PBonnefoy LBouvier VDuvert FKim Y(2013)Large Scale Text Mining Approaches for Information Retrieval and ExtractionInnovations in Intelligent Machines-410.1007/978-3-319-01866-9_1(3-45)Online publication date: 15-Nov-2013
https://doi.org/10.1007/978-3-319-01866-9_1

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