Application of literature-based discovery in nonmedical disciplines: A survey

Wendy Hui, Wai Kwong Lau

Research output: Chapter in Book/Conference paperConference paper

Abstract

The rapid increase in the academic literature has resulted in overspecialization of knowledge. To overcome this overspecialization, literature-based discovery (LBD) has been proposed to help discover promising and under-investigated hypotheses that connect two bodies of knowledge. The method has been around for more than 30 years, but its application has mostly been confined to the medical sciences. In this study, we perform a comprehensive survey of the literature on the application of LBD in nonmedical disciplines, summarize the approaches used, and discuss ways to promote the use of LBD in nonmedical disciplines.

Original languageEnglish
Title of host publicationICCBD 2019 - 2019 the 2nd International Conference on Computing and Big Data, Workshop CSEA 2019
Subtitle of host publication2019 International Conference on Computer, Software Engineering and Applications
PublisherAssociation for Computing Machinery (ACM)
Pages7-11
Number of pages5
ISBN (Electronic)9781450372909
ISBN (Print)United States
DOIs
Publication statusPublished - 18 Oct 2019
Event2nd International Conference on Computing and Big Data, ICCBD 2019 and its Workshop the International Conference on Computer, Software Engineering and Applications, CSEA 2019 - Taichung, Taiwan, Province of China
Duration: 18 Oct 201920 Oct 2019

Publication series

NameACM International Conference Proceeding Series

Conference

Conference2nd International Conference on Computing and Big Data, ICCBD 2019 and its Workshop the International Conference on Computer, Software Engineering and Applications, CSEA 2019
CountryTaiwan, Province of China
CityTaichung
Period18/10/1920/10/19

Cite this

Hui, W., & Lau, W. K. (2019). Application of literature-based discovery in nonmedical disciplines: A survey. In ICCBD 2019 - 2019 the 2nd International Conference on Computing and Big Data, Workshop CSEA 2019: 2019 International Conference on Computer, Software Engineering and Applications (pp. 7-11). (ACM International Conference Proceeding Series). Association for Computing Machinery (ACM). https://doi.org/10.1145/3366650.3366660
Hui, Wendy ; Lau, Wai Kwong. / Application of literature-based discovery in nonmedical disciplines : A survey. ICCBD 2019 - 2019 the 2nd International Conference on Computing and Big Data, Workshop CSEA 2019: 2019 International Conference on Computer, Software Engineering and Applications. Association for Computing Machinery (ACM), 2019. pp. 7-11 (ACM International Conference Proceeding Series).
@inproceedings{a7bc41ba89d3453e8398c1ed8d2d0498,
title = "Application of literature-based discovery in nonmedical disciplines: A survey",
abstract = "The rapid increase in the academic literature has resulted in overspecialization of knowledge. To overcome this overspecialization, literature-based discovery (LBD) has been proposed to help discover promising and under-investigated hypotheses that connect two bodies of knowledge. The method has been around for more than 30 years, but its application has mostly been confined to the medical sciences. In this study, we perform a comprehensive survey of the literature on the application of LBD in nonmedical disciplines, summarize the approaches used, and discuss ways to promote the use of LBD in nonmedical disciplines.",
keywords = "Literature mining, Literature-based discovery, Non-medical",
author = "Wendy Hui and Lau, {Wai Kwong}",
year = "2019",
month = "10",
day = "18",
doi = "10.1145/3366650.3366660",
language = "English",
isbn = "United States",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery (ACM)",
pages = "7--11",
booktitle = "ICCBD 2019 - 2019 the 2nd International Conference on Computing and Big Data, Workshop CSEA 2019",
address = "United States",

}

Hui, W & Lau, WK 2019, Application of literature-based discovery in nonmedical disciplines: A survey. in ICCBD 2019 - 2019 the 2nd International Conference on Computing and Big Data, Workshop CSEA 2019: 2019 International Conference on Computer, Software Engineering and Applications. ACM International Conference Proceeding Series, Association for Computing Machinery (ACM), pp. 7-11, 2nd International Conference on Computing and Big Data, ICCBD 2019 and its Workshop the International Conference on Computer, Software Engineering and Applications, CSEA 2019, Taichung, Taiwan, Province of China, 18/10/19. https://doi.org/10.1145/3366650.3366660

Application of literature-based discovery in nonmedical disciplines : A survey. / Hui, Wendy; Lau, Wai Kwong.

ICCBD 2019 - 2019 the 2nd International Conference on Computing and Big Data, Workshop CSEA 2019: 2019 International Conference on Computer, Software Engineering and Applications. Association for Computing Machinery (ACM), 2019. p. 7-11 (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Conference paperConference paper

TY - GEN

T1 - Application of literature-based discovery in nonmedical disciplines

T2 - A survey

AU - Hui, Wendy

AU - Lau, Wai Kwong

PY - 2019/10/18

Y1 - 2019/10/18

N2 - The rapid increase in the academic literature has resulted in overspecialization of knowledge. To overcome this overspecialization, literature-based discovery (LBD) has been proposed to help discover promising and under-investigated hypotheses that connect two bodies of knowledge. The method has been around for more than 30 years, but its application has mostly been confined to the medical sciences. In this study, we perform a comprehensive survey of the literature on the application of LBD in nonmedical disciplines, summarize the approaches used, and discuss ways to promote the use of LBD in nonmedical disciplines.

AB - The rapid increase in the academic literature has resulted in overspecialization of knowledge. To overcome this overspecialization, literature-based discovery (LBD) has been proposed to help discover promising and under-investigated hypotheses that connect two bodies of knowledge. The method has been around for more than 30 years, but its application has mostly been confined to the medical sciences. In this study, we perform a comprehensive survey of the literature on the application of LBD in nonmedical disciplines, summarize the approaches used, and discuss ways to promote the use of LBD in nonmedical disciplines.

KW - Literature mining

KW - Literature-based discovery

KW - Non-medical

UR - http://www.scopus.com/inward/record.url?scp=85077736151&partnerID=8YFLogxK

U2 - 10.1145/3366650.3366660

DO - 10.1145/3366650.3366660

M3 - Conference paper

SN - United States

T3 - ACM International Conference Proceeding Series

SP - 7

EP - 11

BT - ICCBD 2019 - 2019 the 2nd International Conference on Computing and Big Data, Workshop CSEA 2019

PB - Association for Computing Machinery (ACM)

ER -

Hui W, Lau WK. Application of literature-based discovery in nonmedical disciplines: A survey. In ICCBD 2019 - 2019 the 2nd International Conference on Computing and Big Data, Workshop CSEA 2019: 2019 International Conference on Computer, Software Engineering and Applications. Association for Computing Machinery (ACM). 2019. p. 7-11. (ACM International Conference Proceeding Series). https://doi.org/10.1145/3366650.3366660