Emerging approaches in literature-based discovery: techniques and performance review

Yakub Sebastian, Eu Gene Siew, Sylvester O. Orimaye

Research output: Contribution to journalArticle

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.

Original languageEnglish
Article numbere12
Pages (from-to)1-35
Number of pages35
JournalKnowledge Engineering Review
Volume32
DOIs
Publication statusPublished - 16 May 2017
Externally publishedYes

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