Literature DB >> 28214993

SCALEUS: Semantic Web Services Integration for Biomedical Applications.

Pedro Sernadela1, Lorena González-Castro2, José Luís Oliveira3.   

Abstract

In recent years, we have witnessed an explosion of biological data resulting largely from the demands of life science research. The vast majority of these data are freely available via diverse bioinformatics platforms, including relational databases and conventional keyword search applications. This type of approach has achieved great results in the last few years, but proved to be unfeasible when information needs to be combined or shared among different and scattered sources. During recent years, many of these data distribution challenges have been solved with the adoption of semantic web. Despite the evident benefits of this technology, its adoption introduced new challenges related with the migration process, from existent systems to the semantic level. To facilitate this transition, we have developed Scaleus, a semantic web migration tool that can be deployed on top of traditional systems in order to bring knowledge, inference rules, and query federation to the existent data. Targeted at the biomedical domain, this web-based platform offers, in a single package, straightforward data integration and semantic web services that help developers and researchers in the creation process of new semantically enhanced information systems. SCALEUS is available as open source at http://bioinformatics-ua.github.io/scaleus/ .

Keywords:  Data integration; Data management; Database; Semantic web; Triplestore; Web services

Mesh:

Year:  2017        PMID: 28214993     DOI: 10.1007/s10916-017-0705-8

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  19 in total

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Journal:  AMIA Jt Summits Transl Sci Proc       Date:  2012-03-19

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Journal:  Nucleic Acids Res       Date:  2005-01-01       Impact factor: 16.971

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Review 7.  Data integration in the era of omics: current and future challenges.

Authors:  David Gomez-Cabrero; Imad Abugessaisa; Dieter Maier; Andrew Teschendorff; Matthias Merkenschlager; Andreas Gisel; Esteban Ballestar; Erik Bongcam-Rudloff; Ana Conesa; Jesper Tegnér
Journal:  BMC Syst Biol       Date:  2014-03-13

8.  SORTA: a system for ontology-based re-coding and technical annotation of biomedical phenotype data.

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Review 9.  The semantic web in translational medicine: current applications and future directions.

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Journal:  Brief Bioinform       Date:  2013-11-06       Impact factor: 11.622

10.  The FAIR Guiding Principles for scientific data management and stewardship.

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Journal:  Sci Data       Date:  2016-03-15       Impact factor: 6.444

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  2 in total

1.  A semantic-based workflow for biomedical literature annotation.

Authors:  Pedro Sernadela; José Luís Oliveira
Journal:  Database (Oxford)       Date:  2017-01-01       Impact factor: 3.451

2.  SCALEUS-FD: A FAIR Data Tool for Biomedical Applications.

Authors:  Arnaldo Pereira; Rui Pedro Lopes; José Luís Oliveira
Journal:  Biomed Res Int       Date:  2020-08-26       Impact factor: 3.411

  2 in total

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