Abstract
The rapid increase in the academic literature has resulted in overspecialization of knowledge. To overcome this overspecialization, literature-based discovery (LBD) has been proposed to help discover promising and under-investigated hypotheses that connect two bodies of knowledge. The method has been around for more than 30 years, but its application has mostly been confined to the medical sciences. In this study, we perform a comprehensive survey of the literature on the application of LBD in nonmedical disciplines, summarize the approaches used, and discuss ways to promote the use of LBD in nonmedical disciplines.
| Original language | English |
|---|---|
| Title of host publication | ICCBD 2019 - 2019 the 2nd International Conference on Computing and Big Data, Workshop CSEA 2019 |
| Subtitle of host publication | 2019 International Conference on Computer, Software Engineering and Applications |
| Publisher | Association for Computing Machinery (ACM) |
| Pages | 7-11 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781450372909 |
| ISBN (Print) | 9781450372909 |
| DOIs | |
| Publication status | Published - Oct 2019 |
| Event | 2nd International Conference on Computing and Big Data, ICCBD 2019 and its Workshop the International Conference on Computer, Software Engineering and Applications, CSEA 2019 - Taichung Software Park, Taichung, Taiwan, Province of China Duration: 18 Oct 2019 → 20 Oct 2019 http://iccbd.org/history/2019-Taiwan-Conference%20Program.pdf |
Publication series
| Name | ACM International Conference Proceeding Series |
|---|
Conference
| Conference | 2nd International Conference on Computing and Big Data, ICCBD 2019 and its Workshop the International Conference on Computer, Software Engineering and Applications, CSEA 2019 |
|---|---|
| Abbreviated title | ICCBD 2019 |
| Country/Territory | Taiwan, Province of China |
| City | Taichung |
| Period | 18/10/19 → 20/10/19 |
| Internet address |
Keywords
- Literature mining
- Literature-based discovery
- Non-medical