Literature DB >> 23562645

BioAnnote: a software platform for annotating biomedical documents with application in medical learning environments.

H López-Fernández1, M Reboiro-Jato, D Glez-Peña, F Aparicio, D Gachet, M Buenaga, F Fdez-Riverola.   

Abstract

Automatic term annotation from biomedical documents and external information linking are becoming a necessary prerequisite in modern computer-aided medical learning systems. In this context, this paper presents BioAnnote, a flexible and extensible open-source platform for automatically annotating biomedical resources. Apart from other valuable features, the software platform includes (i) a rich client enabling users to annotate multiple documents in a user friendly environment, (ii) an extensible and embeddable annotation meta-server allowing for the annotation of documents with local or remote vocabularies and (iii) a simple client/server protocol which facilitates the use of our meta-server from any other third-party application. In addition, BioAnnote implements a powerful scripting engine able to perform advanced batch annotations.
Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

Mesh:

Year:  2013        PMID: 23562645     DOI: 10.1016/j.cmpb.2013.03.007

Source DB:  PubMed          Journal:  Comput Methods Programs Biomed        ISSN: 0169-2607            Impact factor:   5.428


  5 in total

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Authors:  Rezarta Islamaj; Dongseop Kwon; Sun Kim; Zhiyong Lu
Journal:  Nucleic Acids Res       Date:  2020-07-02       Impact factor: 16.971

2.  An extensive review of tools for manual annotation of documents.

Authors:  Mariana Neves; Jurica Ševa
Journal:  Brief Bioinform       Date:  2021-01-18       Impact factor: 11.622

3.  Using Compact Coevolutionary Algorithm for Matching Biomedical Ontologies.

Authors:  Xingsi Xue; Jie Chen; Junfeng Chen; Dongxu Chen
Journal:  Comput Intell Neurosci       Date:  2018-10-08

4.  GC4S: A bioinformatics-oriented Java software library of reusable graphical user interface components.

Authors:  Hugo López-Fernández; Miguel Reboiro-Jato; Daniel Glez-Peña; Rosalía Laza; Reyes Pavón; Florentino Fdez-Riverola
Journal:  PLoS One       Date:  2018-09-20       Impact factor: 3.240

5.  Interactive biomedical ontology matching.

Authors:  Xingsi Xue; Zhi Hang; Zhengyi Tang
Journal:  PLoS One       Date:  2019-04-17       Impact factor: 3.240

  5 in total

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