Literature DB >> 18077472

Biomedical ontologies: a functional perspective.

Daniel L Rubin1, Nigam H Shah, Natalya F Noy.   

Abstract

The information explosion in biology makes it difficult for researchers to stay abreast of current biomedical knowledge and to make sense of the massive amounts of online information. Ontologies--specifications of the entities, their attributes and relationships among the entities in a domain of discourse--are increasingly enabling biomedical researchers to accomplish these tasks. In fact, bio-ontologies are beginning to proliferate in step with accruing biological data. The myriad of ontologies being created enables researchers not only to solve some of the problems in handling the data explosion but also introduces new challenges. One of the key difficulties in realizing the full potential of ontologies in biomedical research is the isolation of various communities involved: some workers spend their career developing ontologies and ontology-related tools, while few researchers (biologists and physicians) know how ontologies can accelerate their research. The objective of this review is to give an overview of biomedical ontology in practical terms by providing a functional perspective--describing how bio-ontologies can and are being used. As biomedical scientists begin to recognize the many different ways ontologies enable biomedical research, they will drive the emergence of new computer applications that will help them exploit the wealth of research data now at their fingertips.

Mesh:

Year:  2007        PMID: 18077472     DOI: 10.1093/bib/bbm059

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


  78 in total

1.  Where to Publish and Find Ontologies? A Survey of Ontology Libraries.

Authors:  Mathieu d'Aquin; Natalya F Noy
Journal:  Web Semant       Date:  2012-03-01       Impact factor: 1.897

2.  Using ontology-based annotation to profile disease research.

Authors:  Yi Liu; Adrien Coulet; Paea LePendu; Nigam H Shah
Journal:  J Am Med Inform Assoc       Date:  2012-04-11       Impact factor: 4.497

3.  Ontology-assisted analysis of Web queries to determine the knowledge radiologists seek.

Authors:  Daniel L Rubin; Adam Flanders; Woojin Kim; Khan M Siddiqui; Charles E Kahn
Journal:  J Digit Imaging       Date:  2011-02       Impact factor: 4.056

4.  Creating mappings for ontologies in biomedicine: simple methods work.

Authors:  Amir Ghazvinian; Natalya F Noy; Mark A Musen
Journal:  AMIA Annu Symp Proc       Date:  2009-11-14

5.  Auditing consistency and usefulness of LOINC use among three large institutions - using version spaces for grouping LOINC codes.

Authors:  M C Lin; D J Vreeman; Clement J McDonald; S M Huff
Journal:  J Biomed Inform       Date:  2012-01-28       Impact factor: 6.317

Review 6.  Accessing and integrating data and knowledge for biomedical research.

Authors:  A Burgun; O Bodenreider
Journal:  Yearb Med Inform       Date:  2008

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

Authors:  O Bodenreider
Journal:  Yearb Med Inform       Date:  2008

8.  Analyzing user interactions with biomedical ontologies: A visual perspective.

Authors:  Maulik R Kamdar; Simon Walk; Tania Tudorache; Mark A Musen
Journal:  Web Semant       Date:  2017-12-20       Impact factor: 1.897

9.  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

Review 10.  Introducing the Big Knowledge to Use (BK2U) challenge.

Authors:  Yehoshua Perl; James Geller; Michael Halper; Christopher Ochs; Ling Zheng; Joan Kapusnik-Uner
Journal:  Ann N Y Acad Sci       Date:  2016-10-17       Impact factor: 5.691

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