Development of a VO Registry Subject Ontology using Automated Methods
arXiv:1502.05974v1
AI Analysis
This work addresses the need for efficient ontology creation in astronomy data management, but it is incremental as it builds on existing methods.
The researchers tackled the problem of automating domain ontology generation from subject fields in the Virtual Observatory registry, achieving preliminary results comparable to existing generalized ontology learning software.
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.