Emerging approaches in literature-based discovery: Techniques and performance review
Document Type
Article
Publication Title
Knowledge Engineering Review
Abstract
Literature-based discovery systems aim at discovering valuable latent connections between previously disparate research areas. This is achieved by analyzing the contents of their respective literatures with the help of various intelligent computational techniques. In this paper, we review the progress of literature-based discovery research, focusing on understanding their technical features and evaluating their performance. The present literature-based discovery techniques can be divided into two general approaches: the traditional approach and the emerging approach. The traditional approach, which dominate the current research landscape, comprises mainly of techniques that rely on utilizing lexical statistics, knowledge-based and visualization methods in order to address literature-based discovery problems. On the other hand, we have also observed the births of new trends and unprecedented paradigm shifts among the recently emerging literature-based discovery approach. These trends are likely to shape the future trajectory of the next generation literature-based discovery systems.
DOI
10.1017/S0269888917000042
Publication Date
1-1-2017
Recommended Citation
Sebastian, Yakub; Siew, Eu Gene; and Orimaye, Sylvester O., "Emerging approaches in literature-based discovery: Techniques and performance review" (2017). Global Population Health Faculty Publications. 14.
https://doi.org/10.1017/S0269888917000042
https://collections.uhsp.edu/global-population-health_pubs/14