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Motivation: Several methods can be used to obtain the content of the biomedical literature articles annotated with standardized concepts. Various information retrieval (IR) applications exploit these resources, e.g. Literature-Based Discovery (LBD). Such applications often require a complex processing pipeline to transform the raw literature into an appropriate structured representation. Results: TDC Tools offer an intermediate level of representation aimed to facilitate the design and implementation of IR systems exploiting a concept-based view of the literature. Conceptually this intermediate representation decouples the data extraction part from the task-specific exploitation part, thus improving the modularity, interoperability and ultimately the reusability of such systems. Availability: The software and its dependencies are published under open-source license and provided with detailed instructions: https://github.com/erwanm/tdc-tools.
literature-based discovery, bioinformatics
literature-based discovery, bioinformatics
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 15 | |
| downloads | 18 |

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Downloads provided by UsageCounts