Publication

SIA: a scalable interoperable annotation server for biomedical named entities

Johannes Kirschnick, Philippe Thomas, Roland Roller, Leonhard Hennig

In: Journal of Cheminformatics (JCheminf) 10 1 Pages 63-1 BioMed Central 12/2018.

Abstract

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.

Projekte

sia-scalable-interoperable.pdf (pdf, 364 KB)

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz