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Updated: Jun 11, 2026

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry

Published on: April 8, 2020

OWL2Perl: creating Perl modules from OWL class definitions.

Edward Kawas¹, Mark D Wilkinson

¹Heart + Lung Institute at St. Paul's Hospital, Vancouver, BC, Canada. edward.kawas@gmail.com

Bioinformatics (Oxford, England)

|July 15, 2010

Summary

This summary is machine-generated.

This study introduces OWL2Perl, a framework enabling Perl to utilize Web Ontology Language (OWL) ontologies. This facilitates the creation of compliant Resource Description Framework (RDF) data for the Semantic Web in life sciences.

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Last Updated: Jun 11, 2026

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry

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Published on: April 8, 2020

Standardized Modular Assembly of Polycistronic Operons with Modular Cloning (MoClo) using the In-Cloning toolkit

Standardized Modular Assembly of Polycistronic Operons with Modular Cloning (MoClo) using the In-Cloning toolkit

Published on: September 2, 2025

Area of Science:

Bioinformatics
Computational Biology
Semantic Web Technologies

Background:

Limited support for OWL ontologies in Perl hinders Semantic Web adoption in life sciences.
The Semantic Web is crucial for data integration and knowledge discovery in Healthcare and Life Sciences.

Purpose of the Study:

To present a Perl framework for generating Perl modules from OWL Class definitions.
To enable the creation of Resource Description Framework (RDF) data compliant with OWL models using Perl.

Main Methods:

Developed a Perl framework that parses OWL Class definitions.
Generated Perl modules that represent OWL Class structures.
Utilized generated modules for creating RDF data.

Main Results:

Successfully generated Perl modules from OWL Class definitions.
Demonstrated the capability to create OWL-compliant RDF data using the generated Perl modules.
Provided a practical solution for integrating OWL ontologies within Perl-based applications.

Conclusions:

The OWL2Perl framework significantly enhances Perl's utility for Semantic Web applications in life sciences.
Enables seamless integration of OWL ontologies for RDF data generation.
Addresses the limited support for OWL in Perl, promoting wider adoption of Semantic Web technologies.