SIA: Scalable Interoperable Annotation Server

نویسندگان

  • Johannes Kirschnick
  • Philippe Thomas
چکیده

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 miningand information extraction-tools. However, the integration of freely available tools into customized workflows is often cumbersome and difficult. We describe SIA, our contribution to the BeCalm-TIPS task, a scalable, extensible, and robust annotation service. The system currently covers three named entity types (i.e., Mutations, Diseases, and miRNA) and is freely available under Apache 2.0 license at https://github.com/Erechtheus/sia.

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تاریخ انتشار 2017