Measuring and Analyzing the Scholarly Impact of Experimental Evaluation Initiatives

Marco Angelini; Nicola Ferro; Birger Larsen; Henning Müller; Guiseppe Santucci; Gianmaria Silvello; Theodora Tsikrika

doi:10.1016/j.procs.2014.10.022

Measuring and Analyzing the Scholarly Impact of Experimental Evaluation Initiatives

Marco Angelini, Nicola Ferro, Birger Larsen, Henning Müller, Guiseppe Santucci, Gianmaria Silvello, Theodora Tsikrika

Department of Communication and Psychology

Research output: Contribution to journal › Conference article in Journal › Research › peer-review

7 Citations (Scopus)

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Abstract

Evaluation initiatives have been widely credited with contributing highly to the development and advancement of information access systems, by providing a sustainable platform for conducting the very demanding activity of comparable experimental evaluation in a large scale. Measuring the impact of such benchmarking activities is crucial for assessing which of their aspects have been successful, which activities should be continued, enforced or suspended and which research paths should be further pursued in the future. This work introduces a framework for modeling the data produced by evaluation campaigns, a methodology for measuring their scholarly impact, and tools exploiting visual analytics to analyze the outcomes.

Original language	English
Journal	Procedia Computer Science
Volume	38
Pages (from-to)	133-137
Number of pages	5
ISSN	1877-0509
DOIs	https://doi.org/10.1016/j.procs.2014.10.022
Publication status	Published - 2014
Event	Italian Research Conference on Digital Libraries - Padua, Italy Duration: 30 Jan 2014 → 31 Jan 2014 Conference number: 10

Conference

Conference	Italian Research Conference on Digital Libraries
Number	10
Country/Territory	Italy
City	Padua
Period	30/01/2014 → 31/01/2014

Keywords

Scholarly Impact
Experimental Evaluation
Experimental Data
Visual Analytics

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10.1016/j.procs.2014.10.022

Angelini+2014measuringAnalysingImpact_Procedia-IRCDL'2014Final published version, 706 KB

http://www.sciencedirect.com/science/article/pii/S1877050914013829/pdf?md5=68f3dd648ddee237254e0d96d9c5f461&pid=1-s2.0-S1877050914013829-main.pdf

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title = "Measuring and Analyzing the Scholarly Impact of Experimental Evaluation Initiatives",

abstract = "Evaluation initiatives have been widely credited with contributing highly to the development and advancement of information access systems, by providing a sustainable platform for conducting the very demanding activity of comparable experimental evaluation in a large scale. Measuring the impact of such benchmarking activities is crucial for assessing which of their aspects have been successful, which activities should be continued, enforced or suspended and which research paths should be further pursued in the future. This work introduces a framework for modeling the data produced by evaluation campaigns, a methodology for measuring their scholarly impact, and tools exploiting visual analytics to analyze the outcomes.",

keywords = "Scholarly Impact, Experimental Evaluation, Experimental Data, Visual Analytics",

author = "Marco Angelini and Nicola Ferro and Birger Larsen and Henning M{\"u}ller and Guiseppe Santucci and Gianmaria Silvello and Theodora Tsikrika",

year = "2014",

doi = "10.1016/j.procs.2014.10.022",

language = "English",

volume = "38",

pages = "133--137",

journal = "Procedia Computer Science",

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publisher = "Elsevier",

note = "Italian Research Conference on Digital Libraries, IRCDL ; Conference date: 30-01-2014 Through 31-01-2014",

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T1 - Measuring and Analyzing the Scholarly Impact of Experimental Evaluation Initiatives

AU - Angelini, Marco

AU - Ferro, Nicola

AU - Larsen, Birger

AU - Müller, Henning

AU - Santucci, Guiseppe

AU - Silvello, Gianmaria

AU - Tsikrika, Theodora

N1 - Conference code: 10

PY - 2014

Y1 - 2014

N2 - Evaluation initiatives have been widely credited with contributing highly to the development and advancement of information access systems, by providing a sustainable platform for conducting the very demanding activity of comparable experimental evaluation in a large scale. Measuring the impact of such benchmarking activities is crucial for assessing which of their aspects have been successful, which activities should be continued, enforced or suspended and which research paths should be further pursued in the future. This work introduces a framework for modeling the data produced by evaluation campaigns, a methodology for measuring their scholarly impact, and tools exploiting visual analytics to analyze the outcomes.

AB - Evaluation initiatives have been widely credited with contributing highly to the development and advancement of information access systems, by providing a sustainable platform for conducting the very demanding activity of comparable experimental evaluation in a large scale. Measuring the impact of such benchmarking activities is crucial for assessing which of their aspects have been successful, which activities should be continued, enforced or suspended and which research paths should be further pursued in the future. This work introduces a framework for modeling the data produced by evaluation campaigns, a methodology for measuring their scholarly impact, and tools exploiting visual analytics to analyze the outcomes.

KW - Scholarly Impact

KW - Experimental Evaluation

KW - Experimental Data

KW - Visual Analytics

U2 - 10.1016/j.procs.2014.10.022

DO - 10.1016/j.procs.2014.10.022

M3 - Conference article in Journal

SN - 1877-0509

VL - 38

SP - 133

EP - 137

JO - Procedia Computer Science

JF - Procedia Computer Science

T2 - Italian Research Conference on Digital Libraries

Y2 - 30 January 2014 through 31 January 2014

ER -

Measuring and Analyzing the Scholarly Impact of Experimental Evaluation Initiatives

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