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

Wendy Hui, Wai Kwong Lau

Research output: Chapter in Book/Conference paperConference paper

2 Citations (Scopus)

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

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