Development of a VO Registry Subject Ontology using Automated Methods

TL;DR

This paper presents initial automated methods for creating a domain ontology from Virtual Observatory registry subject fields, showing promising preliminary results comparable to existing software.

Contribution

It introduces an automated approach to generate a VO subject ontology, aiming to enhance depth and breadth over current generalized ontology learning tools.

Findings

Preliminary results are comparable to existing ontology learning software.

Automated methods show potential for domain-specific ontology generation.

Future refinements are expected to improve ontology quality.

Abstract

We report on our initial work to automate the generation of a domain ontology using subject fields of resources held in the Virtual Observatory registry. Preliminary results are comparable to more generalized ontology learning software currently in use. We expect to be able to refine our solution to improve both the depth and breadth of the generated ontology.