SIA: a scalable interoperable annotation server for biomedical named entities

Author:

Kirschnick Johannes,Thomas Philippe,Roller Roland,Hennig LeonhardORCID

Funder

Bundesministerium für Bildung und Forschung

Bundesministerium für Wirtschaft und Energie

Publisher

Springer Science and Business Media LLC

Subject

Library and Information Sciences,Computer Graphics and Computer-Aided Design,Physical and Theoretical Chemistry,Computer Science Applications

Reference20 articles.

1. Hunter L, Cohen KB (2006) Biomedical language processing: what’s beyond pubmed? Mol Cell 21(5):589–594. https://doi.org/10.1016/j.molcel.2006.02.012

2. Rheinländer A, Lehmann M, Kunkel A, Meier J, Leser U (2016) Potential and pitfalls of domain-specific information extraction at web scale. In: Proceedings of the 2016 international conference on management of data, pp 759–771. https://doi.org/10.1145/2882903.2903736

3. Thomas P, Starlinger J, Leser U (2013) Experiences from developing the domain-specific entity search engine GeneView. In: Proceedings of Datenbanksysteme Für Business, Technologie und Web, pp 225–239

4. Comeau DC, Doğan RI, Ciccarese P, Cohen KB, Krallinger M, Leitner F, Lu Z, Peng Y, Rinaldi F, Torii M et al (2013) Bioc: a minimalist approach to interoperability for biomedical text processing. Database 18:bat064

5. Pérez-Pérez M, Pérez-Rodríguez G, Blanco-Míguez A, Fdez-Riverola F, Valencia A, Krallinger M, Lourenco A (2017) Benchmarking biomedical text mining web servers at BioCreative V.5: the technical interoperability and performance of annotation servers—TIPS track. In: Proceedings of the BioCreative V.5 challenge evaluation workshop, pp 12–21

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