Aber-OWL: a framework for ontology-based data access in biology

Handle URI:
http://hdl.handle.net/10754/550321
Title:
Aber-OWL: a framework for ontology-based data access in biology
Authors:
Hoehndorf, Robert ( 0000-0001-8149-5890 ) ; Slater, Luke; Schofield, Paul N; Gkoutos, Georgios V
Abstract:
Background: Many ontologies have been developed in biology and these ontologies increasingly contain large volumes of formalized knowledge commonly expressed in the Web Ontology Language (OWL). Computational access to the knowledge contained within these ontologies relies on the use of automated reasoning. Results: We have developed the Aber-OWL infrastructure that provides reasoning services for bio-ontologies. Aber-OWL consists of an ontology repository, a set of web services and web interfaces that enable ontology-based semantic access to biological data and literature. Aber-OWL is freely available at http://aber-owl.net. Conclusions: Aber-OWL provides a framework for automatically accessing information that is annotated with ontologies or contains terms used to label classes in ontologies. When using Aber-OWL, access to ontologies and data annotated with them is not merely based on class names or identifiers but rather on the knowledge the ontologies contain and the inferences that can be drawn from it.
KAUST Department:
Computational Bioscience Research Center (CBRC); Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Citation:
Aber-OWL: a framework for ontology-based data access in biology 2015, 16 (1) BMC Bioinformatics
Journal:
BMC Bioinformatics
Issue Date:
28-Jan-2015
DOI:
10.1186/s12859-015-0456-9
PubMed ID:
25627673
PubMed Central ID:
PMC4384359
Type:
Article
ISSN:
1471-2105
Additional Links:
http://www.biomedcentral.com/1471-2105/16/26
Appears in Collections:
Articles; Computational Bioscience Research Center (CBRC); Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorHoehndorf, Roberten
dc.contributor.authorSlater, Lukeen
dc.contributor.authorSchofield, Paul Nen
dc.contributor.authorGkoutos, Georgios Ven
dc.date.accessioned2015-04-20T07:07:14Zen
dc.date.available2015-04-20T07:07:14Zen
dc.date.issued2015-01-28en
dc.identifier.citationAber-OWL: a framework for ontology-based data access in biology 2015, 16 (1) BMC Bioinformaticsen
dc.identifier.issn1471-2105en
dc.identifier.pmid25627673en
dc.identifier.doi10.1186/s12859-015-0456-9en
dc.identifier.urihttp://hdl.handle.net/10754/550321en
dc.description.abstractBackground: Many ontologies have been developed in biology and these ontologies increasingly contain large volumes of formalized knowledge commonly expressed in the Web Ontology Language (OWL). Computational access to the knowledge contained within these ontologies relies on the use of automated reasoning. Results: We have developed the Aber-OWL infrastructure that provides reasoning services for bio-ontologies. Aber-OWL consists of an ontology repository, a set of web services and web interfaces that enable ontology-based semantic access to biological data and literature. Aber-OWL is freely available at http://aber-owl.net. Conclusions: Aber-OWL provides a framework for automatically accessing information that is annotated with ontologies or contains terms used to label classes in ontologies. When using Aber-OWL, access to ontologies and data annotated with them is not merely based on class names or identifiers but rather on the knowledge the ontologies contain and the inferences that can be drawn from it.en
dc.relation.urlhttp://www.biomedcentral.com/1471-2105/16/26en
dc.rightsThis is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.en
dc.subjectOntology-based data accessen
dc.subjectLinked dataen
dc.subjectOWLen
dc.titleAber-OWL: a framework for ontology-based data access in biologyen
dc.typeArticleen
dc.contributor.departmentComputational Bioscience Research Center (CBRC)en
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.identifier.journalBMC Bioinformaticsen
dc.identifier.pmcidPMC4384359en
dc.eprint.versionPublisher's Version/PDFen
dc.contributor.institutionDepartment of Computer Science, Aberystwyth University, Llandinam Building, Aberystwyth SY23 3DB, UKen
dc.contributor.institutionDepartment of Physiology, Development & Neuroscience, University of Cambridge, Downing Street, Cambridge CB2 3EG, UKen
kaust.authorHoehndorf, Roberten
kaust.authorSlater, Lukeen

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