ReViz: A Tool for Automatically Generating Citation Graphs and Variants

Sven Groppe; Lina Hartung

doi:10.1007/978-3-030-64452-9_10

ReViz: A Tool for Automatically Generating Citation Graphs and Variants

Sven Groppe^*, Lina Hartung

^*Corresponding author for this work

2 Citations (Scopus)

Abstract

A systematic literature review provides an overview of multiple scientific publications in an area of research and visualizations of the data of the systematic review enable further in-depth analyses. The creation of such a review and its visualizations is a very time- and labor-intensive process. For this reason, we propose a tool for automatically generating visualizations for systematic reviews. Using this tool, the citations between the included articles can be depicted in a citation graph. However, because the clearness of the information contained in the citation graph is highly dependent on the number of included publications, several strategies are implemented in order to reduce the complexity of the graph without loosing (much) information. The generated graphs and developed strategies are evaluated using different instruments, including an user survey, in which they are rated positively.

Original language	English
Title of host publication	ICADL 2020: Digital Libraries at Times of Massive Societal Transition
Editors	Emi Ishita, Natalie Lee San Pang, Lihong Zhou
Number of pages	15
Volume	12504 LNCS
Publisher	Springer, Cham
Publication date	26.11.2020
Pages	107-121
ISBN (Print)	978-3-030-64451-2
ISBN (Electronic)	978-3-030-64452-9
DOIs	https://doi.org/10.1007/978-3-030-64452-9_10
Publication status	Published - 26.11.2020
Event	22nd International Conference on Asia-Pacific Digital Libraries - Kyoto, Japan Duration: 30.11.2020 → 01.12.2020 Conference number: 252499

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 4 Quality Education
SDG 9 Industry, Innovation, and Infrastructure
SDG 11 Sustainable Cities and Communities
SDG 12 Responsible Consumption and Production
SDG 14 Life Below Water
SDG 15 Life on Land

Research Areas and Centers

Centers: Center for Artificial Intelligence Luebeck (ZKIL)
Research Area: Intelligent Systems

DFG Research Classification Scheme

4.43-03 Security and Dependability, Operating, Communication and Distributed Systems

Access to Document

10.1007/978-3-030-64452-9_10

Cite this

@inproceedings{dbec8104a9164cf389140481a9b98088,

title = "ReViz: A Tool for Automatically Generating Citation Graphs and Variants",

abstract = "A systematic literature review provides an overview of multiple scientific publications in an area of research and visualizations of the data of the systematic review enable further in-depth analyses. The creation of such a review and its visualizations is a very time- and labor-intensive process. For this reason, we propose a tool for automatically generating visualizations for systematic reviews. Using this tool, the citations between the included articles can be depicted in a citation graph. However, because the clearness of the information contained in the citation graph is highly dependent on the number of included publications, several strategies are implemented in order to reduce the complexity of the graph without loosing (much) information. The generated graphs and developed strategies are evaluated using different instruments, including an user survey, in which they are rated positively.",

author = "Sven Groppe and Lina Hartung",

note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 22nd International Conference on Asia-Pacific Digital Libraries <br/>, ICADL 2020 ; Conference date: 30-11-2020 Through 01-12-2020",

year = "2020",

month = nov,

day = "26",

doi = "10.1007/978-3-030-64452-9\_10",

language = "English",

isbn = "978-3-030-64451-2",

volume = "12504 LNCS",

series = "Lecture Notes in Computer Science",

publisher = "Springer, Cham",

pages = "107--121 ",

editor = "Emi Ishita and \{Lee San Pang\}, \{Natalie \} and Lihong Zhou",

booktitle = "ICADL 2020: Digital Libraries at Times of Massive Societal Transition",

}

Groppe, S & Hartung, L 2020, ReViz: A Tool for Automatically Generating Citation Graphs and Variants. in E Ishita, N Lee San Pang & L Zhou (eds), ICADL 2020: Digital Libraries at Times of Massive Societal Transition. vol. 12504 LNCS, Lecture Notes in Computer Science, Springer, Cham, pp. 107-121 , 22nd International Conference on Asia-Pacific Digital Libraries
, Kyoto, Japan, 30.11.20. https://doi.org/10.1007/978-3-030-64452-9_10

ReViz: A Tool for Automatically Generating Citation Graphs and Variants. / Groppe, Sven; Hartung, Lina.
ICADL 2020: Digital Libraries at Times of Massive Societal Transition. ed. / Emi Ishita; Natalie Lee San Pang; Lihong Zhou. Vol. 12504 LNCS Springer, Cham, 2020. p. 107-121 (Lecture Notes in Computer Science).

Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

TY - GEN

T1 - ReViz: A Tool for Automatically Generating Citation Graphs and Variants

AU - Groppe, Sven

AU - Hartung, Lina

N1 - Conference code: 252499

PY - 2020/11/26

Y1 - 2020/11/26

N2 - A systematic literature review provides an overview of multiple scientific publications in an area of research and visualizations of the data of the systematic review enable further in-depth analyses. The creation of such a review and its visualizations is a very time- and labor-intensive process. For this reason, we propose a tool for automatically generating visualizations for systematic reviews. Using this tool, the citations between the included articles can be depicted in a citation graph. However, because the clearness of the information contained in the citation graph is highly dependent on the number of included publications, several strategies are implemented in order to reduce the complexity of the graph without loosing (much) information. The generated graphs and developed strategies are evaluated using different instruments, including an user survey, in which they are rated positively.

AB - A systematic literature review provides an overview of multiple scientific publications in an area of research and visualizations of the data of the systematic review enable further in-depth analyses. The creation of such a review and its visualizations is a very time- and labor-intensive process. For this reason, we propose a tool for automatically generating visualizations for systematic reviews. Using this tool, the citations between the included articles can be depicted in a citation graph. However, because the clearness of the information contained in the citation graph is highly dependent on the number of included publications, several strategies are implemented in order to reduce the complexity of the graph without loosing (much) information. The generated graphs and developed strategies are evaluated using different instruments, including an user survey, in which they are rated positively.

UR - https://www.scopus.com/pages/publications/85097564242

UR - https://www.mendeley.com/catalogue/8c617ab7-25c8-3c6f-ab2d-30724add4814/

U2 - 10.1007/978-3-030-64452-9_10

DO - 10.1007/978-3-030-64452-9_10

M3 - Conference contribution

SN - 978-3-030-64451-2

VL - 12504 LNCS

T3 - Lecture Notes in Computer Science

SP - 107

EP - 121

BT - ICADL 2020: Digital Libraries at Times of Massive Societal Transition

A2 - Ishita, Emi

A2 - Lee San Pang, Natalie

A2 - Zhou, Lihong

PB - Springer, Cham

T2 - 22nd International Conference on Asia-Pacific Digital Libraries <br/>

Y2 - 30 November 2020 through 1 December 2020

ER -

ReViz: A Tool for Automatically Generating Citation Graphs and Variants

Abstract

UN SDGs

Research Areas and Centers

DFG Research Classification Scheme

Access to Document

Other files and links

Fingerprint

Cite this