Literature DB >> 19457869

Biological knowledge management: the emerging role of the Semantic Web technologies.

Erick Antezana1, Martin Kuiper, Vladimir Mironov.   

Abstract

New knowledge is produced at a continuously increasing speed, and the list of papers, databases and other knowledge sources that a researcher in the life sciences needs to cope with is actually turning into a problem rather than an asset. The adequate management of knowledge is therefore becoming fundamentally important for life scientists, especially if they work with approaches that thoroughly depend on knowledge integration, such as systems biology. Several initiatives to organize biological knowledge sources into a readily exploitable resourceome are presently being carried out. Ontologies and Semantic Web technologies revolutionize these efforts. Here, we review the benefits, trends, current possibilities, and the potential this holds for the biosciences.

Mesh:

Year:  2009        PMID: 19457869     DOI: 10.1093/bib/bbp024

Source DB:  PubMed          Journal:  Brief Bioinform        ISSN: 1467-5463            Impact factor:   11.622


  49 in total

1.  Computational ontologies in orthopaedic surgery.

Authors:  Ricardo Pietrobon; Amrapali Zaveri; Luciana Cofiel; Jacson Barros; Jatin Shah
Journal:  Clin Orthop Relat Res       Date:  2010-10       Impact factor: 4.176

2.  A proposal for augmenting biological model construction with a semi-intelligent computational modeling assistant.

Authors:  Scott Christley; Gary An
Journal:  Comput Math Organ Theory       Date:  2012-12       Impact factor: 2.023

3.  Improving data and knowledge management to better integrate health care and research.

Authors:  M Cases; L I Furlong; J Albanell; R B Altman; R Bellazzi; S Boyer; A Brand; A J Brookes; S Brunak; T W Clark; J Gea; P Ghazal; N Graf; R Guigó; T E Klein; N López-Bigas; V Maojo; B Mons; M Musen; J L Oliveira; A Rowe; P Ruch; A Shabo; E H Shortliffe; A Valencia; J van der Lei; M A Mayer; F Sanz
Journal:  J Intern Med       Date:  2013-07-15       Impact factor: 8.989

4.  Learning from biomedical linked data to suggest valid pharmacogenes.

Authors:  Kevin Dalleau; Yassine Marzougui; Sébastien Da Silva; Patrice Ringot; Ndeye Coumba Ndiaye; Adrien Coulet
Journal:  J Biomed Semantics       Date:  2017-04-20

5.  Semantic Web repositories for genomics data using the eXframe platform.

Authors:  Emily Merrill; Stéphane Corlosquet; Paolo Ciccarese; Tim Clark; Sudeshna Das
Journal:  J Biomed Semantics       Date:  2014-06-03

6.  Preserving sequence annotations across reference sequences.

Authors:  Zuotian Tatum; Marco Roos; Andrew P Gibson; Peter Em Taschner; Mark Thompson; Erik A Schultes; Jeroen Fj Laros
Journal:  J Biomed Semantics       Date:  2014-06-03

7.  S3DB core: a framework for RDF generation and management in bioinformatics infrastructures.

Authors:  Jonas S Almeida; Helena F Deus; Wolfgang Maass
Journal:  BMC Bioinformatics       Date:  2010-07-20       Impact factor: 3.169

8.  phyloXML: XML for evolutionary biology and comparative genomics.

Authors:  Mira V Han; Christian M Zmasek
Journal:  BMC Bioinformatics       Date:  2009-10-27       Impact factor: 3.169

Review 9.  Calling International Rescue: knowledge lost in literature and data landslide!

Authors:  Teresa K Attwood; Douglas B Kell; Philip McDermott; James Marsh; Steve R Pettifer; David Thorne
Journal:  Biochem J       Date:  2009-12-10       Impact factor: 3.857

10.  BioGateway: a semantic systems biology tool for the life sciences.

Authors:  Erick Antezana; Ward Blondé; Mikel Egaña; Alistair Rutherford; Robert Stevens; Bernard De Baets; Vladimir Mironov; Martin Kuiper
Journal:  BMC Bioinformatics       Date:  2009-10-01       Impact factor: 3.169

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