Collaborative Literature Search System: An Intelligence Amplification Method for Systematic Literature Search

Andrej  Dobrkovic; Daniel A. Döppner; Maria Eugenia Iacob; Jos  van Hillegersberg

doi:10.1007/978-3-319-91800-6_12

Collaborative Literature Search System: An Intelligence Amplification Method for Systematic Literature Search

Andrej Dobrkovic, Daniel A. Döppner, Maria Eugenia Iacob, Jos van Hillegersberg

Industrial Engineering & Business Information Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

2 Citations (Scopus)

316 Downloads (Pure)

Abstract

In this paper, we present a method for systematic literature search based on the symbiotic partnership between the human researcher and intelligent agents. Using intelligence amplification, we leverage the calculation power of computers to quickly and thoroughly extract data, calculate measures, and visualize relationships between scientific documents with the ability of domain experts to perform qualitative analysis and creative reasoning. Thus, we create a foundation for a collaborative literature search system (CLSS) intended to aid researches in performing literature reviews, especially for interdisciplinary and evolving fields of science for which keyword-based literature searches result in large collections of documents beyond humans’ ability to process or the extensive use of filters to narrow the search output risks omitting relevant works. Within this article, we propose a method for CLSS and demonstrate its use on a concrete example of a literature search for a review of the literature on human-machine symbiosis.

Original language	English
Title of host publication	Designing for a Digital and Globalized World
Subtitle of host publication	13th International Conference, DESRIST 2018, Chennai, India, June 3–6, 2018, Proceedings
Editors	Samir Chatterjee, Kaushik Dutta, Rangaraja P. Sundarraj
Publisher	Springer
Pages	169-183
Number of pages	15
ISBN (Electronic)	978-3-319-91800-6
ISBN (Print)	978-3-319-91799-3
DOIs	https://doi.org/10.1007/978-3-319-91800-6_12
Publication status	Published - 2018
Event	13th International Conference on Design Science Research in Information Systems and Technology 2018 - Indian Institute of Technology, Madras, India Duration: 3 Jun 2018 → 6 Jun 2018 Conference number: 13 https://www.engmorph.com/desrist-2018

Publication series

Name	Lecture notes in computer science
Volume	10844

Conference

Conference	13th International Conference on Design Science Research in Information Systems and Technology 2018
Abbreviated title	DESRIST 2018
Country/Territory	India
City	Madras
Period	3/06/18 → 6/06/18
Internet address	https://www.engmorph.com/desrist-2018

Keywords

2019 OA procedure

Access to Document

10.1007/978-3-319-91800-6_12

Dobrkovic2018_Chapter_CollaborativeLiteratureSearchSFinal published version, 2.3 MBLicence: Taverne

Cite this

Dobrkovic, A., Döppner, D. A., Iacob, M. E., & van Hillegersberg, J. (2018). Collaborative Literature Search System: An Intelligence Amplification Method for Systematic Literature Search. In S. Chatterjee, K. Dutta, & R. P. Sundarraj (Eds.), Designing for a Digital and Globalized World: 13th International Conference, DESRIST 2018, Chennai, India, June 3–6, 2018, Proceedings (pp. 169-183). (Lecture notes in computer science; Vol. 10844). Springer. https://doi.org/10.1007/978-3-319-91800-6_12

Dobrkovic, Andrej ; Döppner, Daniel A. ; Iacob, Maria Eugenia et al. / Collaborative Literature Search System : An Intelligence Amplification Method for Systematic Literature Search. Designing for a Digital and Globalized World: 13th International Conference, DESRIST 2018, Chennai, India, June 3–6, 2018, Proceedings. editor / Samir Chatterjee ; Kaushik Dutta ; Rangaraja P. Sundarraj. Springer, 2018. pp. 169-183 (Lecture notes in computer science).

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abstract = "In this paper, we present a method for systematic literature search based on the symbiotic partnership between the human researcher and intelligent agents. Using intelligence amplification, we leverage the calculation power of computers to quickly and thoroughly extract data, calculate measures, and visualize relationships between scientific documents with the ability of domain experts to perform qualitative analysis and creative reasoning. Thus, we create a foundation for a collaborative literature search system (CLSS) intended to aid researches in performing literature reviews, especially for interdisciplinary and evolving fields of science for which keyword-based literature searches result in large collections of documents beyond humans{\textquoteright} ability to process or the extensive use of filters to narrow the search output risks omitting relevant works. Within this article, we propose a method for CLSS and demonstrate its use on a concrete example of a literature search for a review of the literature on human-machine symbiosis.",

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booktitle = "Designing for a Digital and Globalized World",

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Dobrkovic, A, Döppner, DA, Iacob, ME & van Hillegersberg, J 2018, Collaborative Literature Search System: An Intelligence Amplification Method for Systematic Literature Search. in S Chatterjee, K Dutta & RP Sundarraj (eds), Designing for a Digital and Globalized World: 13th International Conference, DESRIST 2018, Chennai, India, June 3–6, 2018, Proceedings. Lecture notes in computer science, vol. 10844, Springer, pp. 169-183, 13th International Conference on Design Science Research in Information Systems and Technology 2018, Madras, India, 3/06/18. https://doi.org/10.1007/978-3-319-91800-6_12

Collaborative Literature Search System: An Intelligence Amplification Method for Systematic Literature Search. / Dobrkovic, Andrej ; Döppner, Daniel A.; Iacob, Maria Eugenia et al.
Designing for a Digital and Globalized World: 13th International Conference, DESRIST 2018, Chennai, India, June 3–6, 2018, Proceedings. ed. / Samir Chatterjee; Kaushik Dutta; Rangaraja P. Sundarraj. Springer, 2018. p. 169-183 (Lecture notes in computer science; Vol. 10844).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Collaborative Literature Search System

T2 - 13th International Conference on Design Science Research in Information Systems and Technology 2018

AU - Dobrkovic, Andrej

AU - Döppner, Daniel A.

AU - Iacob, Maria Eugenia

AU - van Hillegersberg, Jos

N1 - Conference code: 13

PY - 2018

Y1 - 2018

N2 - In this paper, we present a method for systematic literature search based on the symbiotic partnership between the human researcher and intelligent agents. Using intelligence amplification, we leverage the calculation power of computers to quickly and thoroughly extract data, calculate measures, and visualize relationships between scientific documents with the ability of domain experts to perform qualitative analysis and creative reasoning. Thus, we create a foundation for a collaborative literature search system (CLSS) intended to aid researches in performing literature reviews, especially for interdisciplinary and evolving fields of science for which keyword-based literature searches result in large collections of documents beyond humans’ ability to process or the extensive use of filters to narrow the search output risks omitting relevant works. Within this article, we propose a method for CLSS and demonstrate its use on a concrete example of a literature search for a review of the literature on human-machine symbiosis.

AB - In this paper, we present a method for systematic literature search based on the symbiotic partnership between the human researcher and intelligent agents. Using intelligence amplification, we leverage the calculation power of computers to quickly and thoroughly extract data, calculate measures, and visualize relationships between scientific documents with the ability of domain experts to perform qualitative analysis and creative reasoning. Thus, we create a foundation for a collaborative literature search system (CLSS) intended to aid researches in performing literature reviews, especially for interdisciplinary and evolving fields of science for which keyword-based literature searches result in large collections of documents beyond humans’ ability to process or the extensive use of filters to narrow the search output risks omitting relevant works. Within this article, we propose a method for CLSS and demonstrate its use on a concrete example of a literature search for a review of the literature on human-machine symbiosis.

KW - 2019 OA procedure

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M3 - Conference contribution

SN - 978-3-319-91799-3

T3 - Lecture notes in computer science

SP - 169

EP - 183

BT - Designing for a Digital and Globalized World

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PB - Springer

Y2 - 3 June 2018 through 6 June 2018

ER -

Dobrkovic A, Döppner DA, Iacob ME, van Hillegersberg J. Collaborative Literature Search System: An Intelligence Amplification Method for Systematic Literature Search. In Chatterjee S, Dutta K, Sundarraj RP, editors, Designing for a Digital and Globalized World: 13th International Conference, DESRIST 2018, Chennai, India, June 3–6, 2018, Proceedings. Springer. 2018. p. 169-183. (Lecture notes in computer science). Epub 2018 May 19. doi: 10.1007/978-3-319-91800-6_12

Collaborative Literature Search System: An Intelligence Amplification Method for Systematic Literature Search

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