@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 = oct,
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",
note = "2nd International Conference on Computing and Big Data, ICCBD 2019 and its Workshop the International Conference on Computer, Software Engineering and Applications, CSEA 2019 ; Conference date: 18-10-2019 Through 20-10-2019",
}