Literature DB >> 16899495

Bio-ontologies: current trends and future directions.

Olivier Bodenreider1, Robert Stevens.   

Abstract

In recent years, as a knowledge-based discipline, bioinformatics has been made more computationally amenable. After its beginnings as a technology advocated by computer scientists to overcome problems of heterogeneity, ontology has been taken up by biologists themselves as a means to consistently annotate features from genotype to phenotype. In medical informatics, artifacts called ontologies have been used for a longer period of time to produce controlled lexicons for coding schemes. In this article, we review the current position in ontologies and how they have become institutionalized within biomedicine. As the field has matured, the much older philosophical aspects of ontology have come into play. With this and the institutionalization of ontology has come greater formality. We review this trend and what benefits it might bring to ontologies and their use within biomedicine.

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Year:  2006        PMID: 16899495      PMCID: PMC1847325          DOI: 10.1093/bib/bbl027

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


  55 in total

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Journal:  J Biomed Inform       Date:  2005-10-24       Impact factor: 6.317

3.  The unexpected high practical value of medical ontologies.

Authors:  Francesco Pinciroli; Domenico M Pisanelli
Journal:  Comput Biol Med       Date:  2005-09-21       Impact factor: 4.589

4.  Law and order: assessing and enforcing compliance with ontological modeling principles in the Foundational Model of Anatomy.

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Journal:  Comput Biol Med       Date:  2005-09-06       Impact factor: 4.589

5.  Beyond the data deluge: data integration and bio-ontologies.

Authors:  Judith A Blake; Carol J Bult
Journal:  J Biomed Inform       Date:  2006-02-21       Impact factor: 6.317

Review 6.  Quality assurance of medical ontologies.

Authors:  J E Rogers
Journal:  Methods Inf Med       Date:  2006       Impact factor: 2.176

7.  Challenges in integrating biological data sources.

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8.  OILing the way to machine understandable bioinformatics resources.

Authors:  Robert Stevens; Carole Goble; Ian Horrocks; Sean Bechhofer
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9.  An ontology for cell types.

Authors:  Jonathan Bard; Seung Y Rhee; Michael Ashburner
Journal:  Genome Biol       Date:  2005-01-14       Impact factor: 13.583

10.  In defense of the Desiderata.

Authors:  James J Cimino
Journal:  J Biomed Inform       Date:  2005-12-09       Impact factor: 6.317

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  94 in total

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Review 2.  Natural Language Processing methods and systems for biomedical ontology learning.

Authors:  Kaihong Liu; William R Hogan; Rebecca S Crowley
Journal:  J Biomed Inform       Date:  2010-07-18       Impact factor: 6.317

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Journal:  J Digit Imaging       Date:  2011-02       Impact factor: 4.056

Review 4.  Accessing and integrating data and knowledge for biomedical research.

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5.  Biomedical ontologies in action: role in knowledge management, data integration and decision support.

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6.  Interaction relation ontology learning.

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Journal:  J Comput Biol       Date:  2014-01       Impact factor: 1.479

7.  A UML profile for the OBO relation ontology.

Authors:  Gabriela D A Guardia; Ricardo Z N Vêncio; Cléver R G de Farias
Journal:  BMC Genomics       Date:  2012-10-19       Impact factor: 3.969

8.  Ontological approach to reduce complexity in polypharmacy.

Authors:  Susan Farrish; Adela Grando
Journal:  AMIA Annu Symp Proc       Date:  2013-11-16

9.  Crowdsourcing the verification of relationships in biomedical ontologies.

Authors:  Jonathan M Mortensen; Mark A Musen; Natalya F Noy
Journal:  AMIA Annu Symp Proc       Date:  2013-11-16

10.  Insight: An ontology-based integrated database and analysis platform for epilepsy self-management research.

Authors:  Satya S Sahoo; Priya Ramesh; Elisabeth Welter; Ashley Bukach; Joshua Valdez; Curtis Tatsuoka; Yvan Bamps; Shelley Stoll; Barbara C Jobst; Martha Sajatovic
Journal:  Int J Med Inform       Date:  2016-06-23       Impact factor: 4.046

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