survey

A Systematic Review on Literature-based Discovery: General Overview, Methodology, & Statistical Analysis

Authors:

Menasha Thilakaratne,

Katrina Falkner,

Thushari AtapattuAuthors Info & Claims

ACM Computing Surveys (CSUR), Volume 52, Issue 6

Article No.: 129, Pages 1 - 34

https://doi.org/10.1145/3365756

Published: 10 December 2019 Publication History

Abstract

The vast nature of scientific publications brings out the importance of Literature-Based Discovery (LBD) research that is highly beneficial to accelerate knowledge acquisition and the research development process. LBD is a knowledge discovery workflow that automatically detects significant, implicit knowledge associations hidden in fragmented knowledge areas by analysing existing scientific literature. Therefore, the LBD output not only assists in formulating scientifically sensible, novel research hypotheses but also encourages the development of cross-disciplinary research. In this systematic review, we provide an in-depth analysis of the computational techniques used in the LBD process using a novel, up-to-date, and detailed classification. Moreover, we also summarise the key milestones of the discipline through a timeline of topics. To provide a general overview of the discipline, the review outlines LBD validation checks, major LBD tools, application areas, domains, and generalisability of LBD methodologies. We also outline the insights gathered through our statistical analysis that capture the trends in LBD literature. To conclude, we discuss the prevailing research deficiencies in the discipline by highlighting the challenges and opportunities of future LBD research.

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ACM Computing Surveys Volume 52, Issue 6

November 2020

806 pages

ISSN:0360-0300

EISSN:1557-7341

DOI:10.1145/3368196

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Revised: 01 July 2019

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Published in CSUR Volume 52, Issue 6

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https://doi.org/10.2174/9789815305180124010014
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Shao WWei YRajapaksha PLi DLuo ZCrespi N(2023)Low-Latency Dimensional Expansion and Anomaly Detection Empowered Secure IoT NetworkIEEE Transactions on Network and Service Management10.1109/TNSM.2023.324679820:3(3865-3879)Online publication date: 1-Sep-2023
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Roy SGanguly NSural SRudra K(2023)Interpretable Clinical Trial Search using Pubmed Citation Network2023 IEEE International Conference on Digital Health (ICDH)10.1109/ICDH60066.2023.00056(328-338)Online publication date: Jul-2023
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Zelenkov YSolntsev I(2023)Analysis of research dynamics in sport management using topic modellingManaging Sport and Leisure10.1080/23750472.2023.2200449(1-22)Online publication date: 15-Apr-2023
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Pu YBeck DVerspoor K(2023)Graph embedding-based link prediction for literature-based discovery in Alzheimer’s DiseaseJournal of Biomedical Informatics10.1016/j.jbi.2023.104464145:COnline publication date: 1-Sep-2023
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