SIA: a scalable interoperable annotation server for biomedical named entities

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 i...

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Main Authors: Johannes Kirschnick, Philippe Thomas, Roland Roller, Leonhard Hennig
Format: Article
Language:English
Published: BMC 2018-12-01
Series:Journal of Cheminformatics
Subjects:
Online Access:http://link.springer.com/article/10.1186/s13321-018-0319-2
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author Johannes Kirschnick
Philippe Thomas
Roland Roller
Leonhard Hennig
author_facet Johannes Kirschnick
Philippe Thomas
Roland Roller
Leonhard Hennig
author_sort Johannes Kirschnick
collection DOAJ
description 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.
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spelling doaj.art-8b87272a24044c1985fcb98322a0aada2022-12-21T18:47:37ZengBMCJournal of Cheminformatics1758-29462018-12-011011710.1186/s13321-018-0319-2SIA: a scalable interoperable annotation server for biomedical named entitiesJohannes Kirschnick0Philippe Thomas1Roland Roller2Leonhard Hennig3DFKI Language Technology LabDFKI Language Technology LabDFKI Language Technology LabDFKI Language Technology LabAbstract 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.http://link.springer.com/article/10.1186/s13321-018-0319-2Text miningAnnotation serviceRobustnessScalabilityExtensibility
spellingShingle Johannes Kirschnick
Philippe Thomas
Roland Roller
Leonhard Hennig
SIA: a scalable interoperable annotation server for biomedical named entities
Journal of Cheminformatics
Text mining
Annotation service
Robustness
Scalability
Extensibility
title SIA: a scalable interoperable annotation server for biomedical named entities
title_full SIA: a scalable interoperable annotation server for biomedical named entities
title_fullStr SIA: a scalable interoperable annotation server for biomedical named entities
title_full_unstemmed SIA: a scalable interoperable annotation server for biomedical named entities
title_short SIA: a scalable interoperable annotation server for biomedical named entities
title_sort sia a scalable interoperable annotation server for biomedical named entities
topic Text mining
Annotation service
Robustness
Scalability
Extensibility
url http://link.springer.com/article/10.1186/s13321-018-0319-2
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AT rolandroller siaascalableinteroperableannotationserverforbiomedicalnamedentities
AT leonhardhennig siaascalableinteroperableannotationserverforbiomedicalnamedentities