Literature-based knowledge discovery: the state of the art
Xiaoyong Liu, Hui Fu

TL;DR
This paper reviews the evolution of literature-based knowledge discovery (LBD) since 1986, highlighting methodological advances, applications across disciplines, and future research challenges in the field.
Contribution
It provides a comprehensive overview of recent developments in LBD, combining methodology and application insights, and discusses future research directions.
Findings
LBD has expanded across multiple scientific fields.
Recent methods improve discovery accuracy and efficiency.
Future challenges include handling large datasets and integrating diverse sources.
Abstract
Literature-based knowledge discovery method was introduced by Dr. Swanson in 1986. He hypothesized a connection between Raynaud's phenomenon and dietary fish oil, the field of literature-based discovery (LBD) was born from then on. During the subsequent two decades, LBD's research attracts some scientists including information science, computer science, and biomedical science, etc.. It has been a part of knowledge discovery and text mining. This paper summarizes the development of recent years about LBD and presents two parts, methodology research and applied research. Lastly, some problems are pointed as future research directions.
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Taxonomy
TopicsBiomedical Text Mining and Ontologies · Advanced Text Analysis Techniques · Semantic Web and Ontologies
