SIA: a scalable interoperable annotation server for biomedical named entities

被引：0
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作者：
Johannes Kirschnick
Philippe Thomas
Roland Roller
Leonhard Hennig
机构：
[1] DFKI Language Technology Lab,
来源：
Journal of Cheminformatics | / 10卷
关键词：
Text mining; Annotation service; Robustness; Scalability; Extensibility;
D O I：
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学科分类号：
摘要：
Recent years showed a strong increase in biomedical sciences and an inherent increase in publication volume. Extraction of specific information from these sources requires highly sophisticated text mining and information extraction tools. However, the integration of freely available tools into customized workflows is often cumbersome and difficult. We describe SIA (Scalable Interoperable Annotation Server), our contribution to the BeCalm-Technical interoperability and performance of annotation servers (BeCalm-TIPS) task, a scalable, extensible, and robust annotation service. The system currently covers six named entity types (i.e., chemicals, diseases, genes, miRNA, mutations, and organisms) and is freely available under Apache 2.0 license at https://github.com/Erechtheus/sia.
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