- [[references]] - Title: Emerging approaches in literature-based discovery: techniques and performance review - Meta: - Authored by:: [[Yakub Sebastian]] - Year: [[2017]] - Publication: The Knowledge Engineering Review - Zotero link: [Zotero Link](zotero://select/items/7_HJUJVKQM) - URL: [Sebastian et al. (2017). Emerging approaches in literature-based discovery: techniques and performance review. The Knowledge Engineering Review](https://www.cambridge.org/core/journals/knowledge-engineering-review/article/abs/emerging-approaches-in-literaturebased-discovery-techniques-and-performance-review/09D7E9623190AA85C14350AEA64AD3E4) - Content - 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. ###### Discourse Context - **Informs::** [[QUE - What are the most efficient routes to useful cross-boundary knowledge]]