Populous: a tool for building OWL ontologies from templates

Abstract:

BACKGROUND: Ontologies are being developed for the life sciences to standardise the way we describe and interpret the wealth of data currently being generated. As more ontology based applications begin to emerge, tools are required that enable domain experts to contribute their knowledge to the growing pool of ontologies. There are many barriers that prevent domain experts engaging in the ontology development process and novel tools are needed to break down these barriers to engage a wider community of scientists. RESULTS: We present Populous, a tool for gathering content with which to construct an ontology. Domain experts need to add content, that is often repetitive in its form, but without having to tackle the underlying ontological representation. Populous presents users with a table based form in which columns are constrained to take values from particular ontologies. Populated tables are mapped to patterns that can then be used to automatically generate the ontology's content. These forms can be exported as spreadsheets, providing an interface that is much more familiar to many biologists. CONCLUSIONS: Populous's contribution is in the knowledge gathering stage of ontology development; it separates knowledge gathering from the conceptualisation and axiomatisation, as well as separating the user from the standard ontology authoring environments. Populous is by no means a replacement for standard ontology editing tools, but instead provides a useful platform for engaging a wider community of scientists in the mass production of ontology content.

SEEK ID: https://fairdomhub.org/publications/140

PubMed ID: 22373396

Projects: SysMO DB

Publication type: Not specified

Journal: BMC bioinformatics

Citation:

Date Published: 25th Jan 2012

Registered Mode: Not specified

Authors: Simon Jupp, Matthew Horridge, Luigi Iannone, Julie Klein, , Joost Schanstra, , Robert Stevens

help Submitter
Activity

Views: 4264

Created: 6th Mar 2012 at 11:08

help Tags
help Attributions

None

Powered by
(v.1.12.1)
Copyright © 2008 - 2022 The University of Manchester and HITS gGmbH

By continuing to use this site you agree to the use of cookies